US20130055099A1 - Unified Messaging System with Integration of Call Log Data - Google Patents
Unified Messaging System with Integration of Call Log Data Download PDFInfo
- Publication number
- US20130055099A1 US20130055099A1 US13/214,924 US201113214924A US2013055099A1 US 20130055099 A1 US20130055099 A1 US 20130055099A1 US 201113214924 A US201113214924 A US 201113214924A US 2013055099 A1 US2013055099 A1 US 2013055099A1
- Authority
- US
- United States
- Prior art keywords
- contacts
- user
- contact
- message
- media
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/06—Message adaptation to terminal or network requirements
- H04L51/066—Format adaptation, e.g. format conversion or compression
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/58—Message adaptation for wireless communication
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/101—Collaborative creation, e.g. joint development of products or services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/216—Handling conversation history, e.g. grouping of messages in sessions or threads
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/56—Unified messaging, e.g. interactions between e-mail, instant messaging or converged IP messaging [CPM]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M7/00—Arrangements for interconnection between switching centres
- H04M7/0024—Services and arrangements where telephone services are combined with data services
- H04M7/0042—Services and arrangements where telephone services are combined with data services where the data service is a text-based messaging service
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2201/00—Electronic components, circuits, software, systems or apparatus used in telephone systems
- H04M2201/40—Electronic components, circuits, software, systems or apparatus used in telephone systems using speech recognition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2201/00—Electronic components, circuits, software, systems or apparatus used in telephone systems
- H04M2201/60—Medium conversion
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2203/00—Aspects of automatic or semi-automatic exchanges
- H04M2203/65—Aspects of automatic or semi-automatic exchanges related to applications where calls are combined with other types of communication
- H04M2203/655—Combination of telephone service and social networking
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/42382—Text-based messaging services in telephone networks such as PSTN/ISDN, e.g. User-to-User Signalling or Short Message Service for fixed networks
Definitions
- the present disclosure relates generally to integration of multiple communication protocols between a user and a plurality of contacts into a single conversation view for each of the plurality of contacts, and, in particular, integrating the conversations view with interactions and communications on a social networking system.
- FIG. 1 illustrates an example social networking environment.
- FIG. 2 illustrates an example interface implementing a conversations view.
- FIG. 3 illustrates an example interface for viewing a particular conversation
- FIG. 4 illustrates an example method of synchronizing offline conversation data with a social networking system.
- FIG. 5 illustrates an example network environment
- FIG. 6 illustrates an example computing system.
- FIG. 7 illustrates an example mobile device.
- Particular embodiments relate to a “conversations view” presented to the user of a computing device.
- the conversations view aggregates all interactions between a particular user and one of his contacts over all communications media, and presents the history of the conversation in a single temporally-arranged thread.
- Implementations of the present invention extend these concepts by allowing an application, whether local to the user's device or residing at a server hosted by a social networking site, to synchronize all the user's actions on the social networking site with the local application, or all the user's device-local communications with the application residing on the social networking site.
- the application provides a fully integrated conversation log of any communication between the user and one or more contacts.
- FIG. 1 is a high-level block diagram of an integrated messaging system according to one embodiment.
- FIG. 1 illustrates a social networking system 100 , client devices 180 a and 180 b , wireless cellular network 300 , third-party website 190 , third-party IM service 210 , third-party social media site 220 , VoIP service 230 , Video Service 240 , and other third-arty services providers 250 .
- FIG. 1 also includes offline storage 200 that is local to client devices 180 a and 180 b .
- Client devices 180 a and 180 b are depicted as a mobile phone 180 a and desktop computer 180 b , but client devices 180 may comprise any type of computing device, including mobile phone, laptop, netbook tablet, cable box, television, etc.
- client device 180 a connects to network 170 through a wireless cellular network 300 , such as GPRS-based and CDMA-based wireless networks, as well as 802.16 WiMax and long-range wireless data networks.
- Client devices 180 a and 180 b have memories capable of storing call, text, and other messaging data, depicted in FIG. 1 as offline storage 200 .
- client device 180 includes both client devices 180 a and 180 b.
- Client devices 180 a and 180 b interact with external websites 190 and other service providers 210 , 220 , 230 , 240 , and 250 through a web browser residing on the client device, or a dedicated application local to client devices 180 a and 180 b .
- client devices 180 a and 180 b may interact with third-party instant messaging service 210 , such as Google Chat, by visiting and logging into their Gmail account via a web browser, or by installing and running a dedicated Google Talk application.
- client devices 180 a and 180 b may interact with a third-party social media site, such as Twitter, via a browser or through a dedicated Twitter application.
- VoIP service 230 such as Skype
- Video service 240 such as FaceTime or Tango
- service providers 250 may include, but is not limited to, e-mail servers, other social-networking websites, shopping sites, review sites such as Yelp!, and any third-party website on which a user maintains an account to interact with content or other users.
- This disclosure contemplates any type of third-party service provider 250 connected to network 170 .
- a user of the client devices 180 a and 180 b interacts with the social networking system 100 via an application, such as a web browser or a native application, to perform operations such as browsing content, posting and sending messages, retrieving and sorting messages received from other users, and the like.
- Messages can be in any electronic message format such as electronic mail (“e-mail”) messages, chat messages, comments left on a user's webpage, and short message service (SMS) text messages.
- SMS short message service
- Messages can contain plain text, or they can contain other content such as pictures, videos, and attachments.
- Each user has a mailbox that includes messages that are both sent and received by the user.
- Client device 180 a may also interact with other client devices through the circuit-switched, or non-data, portion of wireless network 300 .
- a user at client device 180 a may transmit and receive a non-VoIP call to a cellular phone or landline, transmit and receive a text or multi-media message through the SMS or MMS channels, or receive push notifications through the SMS control channel.
- the third party website 190 can also interact with the social networking system 100 via a system-provided application programming interface (API) 150 .
- API application programming interface
- the third party website can perform operations supported by the API, such as delivering messages to the social network system 100 , retrieving messages stored by the social networking system 100 , and obtaining social information about users of the social networking system 100 .
- the social networking system 100 comprises an object store 110 , a graph information store 120 , and a mailbox module 170 .
- the object store 110 stores information on objects, such as users, represented in or by the social networking environment 100 .
- the graph information store 120 stores information on the relationships of the objects in the object store 110 .
- the mailbox module 170 provides functionality for powering the messaging system.
- the mailbox module 170 receives, organizes, and presents messages to/from users in the social networking system 100 via an interactive user interface.
- the user interface can be, for example, a webpage that is viewed by a user with a web browser.
- the interactive user interface may be an application residing on the user's computing device 180 a or 180 b .
- the interactive user interface may be a combination of server and client side rendering, depending on processing and bandwidth capacity.
- the functionality provided by the mailbox module 170 includes organizing messages into conversations, quick reply, categorizing conversations, conversation states, conversation searching, new message notification, formatting of e-mails, forwarding messages between conversations, and invitation based conversion, among others.
- messages occurring off the social network are synchronized with mailbox module 170 when the client devices 180 a and 180 b perform a synchronize operation.
- all data-related messages or communications i.e., communications requiring interaction with network-connected entities 190 and 210 - 250 are pulled automatically through one or more APIs 50 and stored at mailbox module 170 .
- a mixture of client-push and server-pulls are used to aggregate all communications at mailbox module 170 .
- a local application on client devices 180 a and 180 b performs the operations of mailbox module 170 and pulls data from social network 100 and third-party entities 190 and 210 - 250 to mobile device 180 .
- FIG. 4 is a flowchart illustrating an example method of aggregating all the messages in mailbox module 170 .
- mobile device 180 a or 180 b transmits or receives a communication.
- the communication can be over a data network, voice network, or SMS channels.
- the communication may be a voice call, instant message, email, SMS or MMS message, PTT message, VoIP session, video call, voicemail, message from a social media or third-party social networking site (twitter, dating web sites, web forums with private messages, etc.).
- client device 180 generates log data after the communication session has completed.
- the log file includes an identification of the other parties, the time and duration of the communication session, whether it was an incoming, outgoing, or missed communication, and the like.
- voice transcription software converts the message into text, in particular, received half-duplex communications such as PTT messages and voicemails, although transcription of full-duplex voice calls and video chats is also contemplated.
- the client device 180 a or 180 b checks whether a data connection is available. This is more pertinent to client devices of type 180 a connected to network 170 through a wireless cellular network 300 . Often, mobile devices have limited data coverage due to interference or poor cellular reception. Thus, it is not always possible to connect to social networking system 100 via wireless cellular network 300 and network 170 . Although less of an issue for client device 180 b , it is conceivable that a connection to network 170 is not immediately available, as well.
- client devices 180 a and 180 b store a copy of the message, or a copy of the text transcribed from a communication lacking text, or the log data for a communication lacking text, in an offline storage.
- Offline storage is typically the memory of client device 180 itself, but this disclosure contemplates any storage means accessible by client 180 .
- client device 180 waits until a data connection is available. In particular embodiments, client device 180 waits a predetermined period of time before checking for a data connection. In particular embodiments, an application residing on client device 180 monitors the connection between client device 180 a and wireless cellular network 300 and notifies other applications when a data connection is available.
- client device 180 transmits the message, text transcribed from a communication lacking text, or log data for a communication lacking text to social networking system 100 via network 170 .
- Client device 180 may connect to social networking system 100 via a dedicated API, or though standard web protocols.
- only a portion of messages containing text, such as emails, are transmitted in order to save bandwidth and battery life.
- social networking system 100 receives the communication, and in Step 407 , stores it in the object store 110 to be managed by mailbox module 170 .
- the communication transmitted or received in Step 401 may be of any suitable type, and utilize either the packet-switched data network of wireless cellular network 300 , the circuit-switched (voice) channels of wireless cellular network 300 , or the SMS channel of wireless cellular network 300 .
- all data transmissions utilizing the packet-switched data network are pulled from their respective third-party servers via mailbox module 170 .
- the mailbox module 170 could periodically transmit a request to a user's Yahoo! mail server, providing authentication credentials for the user, and pull new mail to mailbox 170 before transmitting it to the user's client device 180 .
- mailbox module 170 acts as a messaging gateway through which all data messages pass.
- the mailbox module 170 aggregates messages into “conversations.” Each conversation includes messages associated with a set of users (“participants”) and includes all messages sent between users in the set. For example, assume that Adam is a user of social networking system 100 and Bob is one of his contacts. If Adam sends communicates with Bob, the message creates a new conversation associated with Adam and Bob. Each time Adam communicates with Bob, that new communication (whether the message itself, transcribed text, or log data) is added to the existing conversation. A conversation thus becomes a historical record of all correspondence between a set of users.
- a set of users can include two or more users. For example, if Adam sends an e-mail message to Bob and copies Charles, this message creates a new three-way conversation between Adam, Bob, and Charles. This three-way conversation is distinct from the one on one conversation between Adam and Bob that was created in the prior example. In other words, communications in the Adam-Bob conversation are not included in the Adam-Bob-Charles conversation, and vice versa.
- FIG. 2 illustrates a list of conversations according to an embodiment. Shown is an interface for browsing the conversations for a user named Drew Hamlin 205 . Drew has selected to view his communications by launching the a dedicated conversations application, or accessing a link on a web page of social networking system 100 .
- FIG. 2 illustrates the interface of a dedicated application, such as on a touchscreen-operated mobile phone.
- the interface includes an option for selecting the conversations view 201 , an option for browsing a list of contacts 202 , and option to browse contacts marked as favorites 203 , and an option to launch the keypad 204 .
- the interface also includes a search bar 205 , which allows the user to search both contact names and the content of conversations.
- the application Upon selecting the conversations button 201 , the application opens a list of conversations 220 - 235 , arranged in this example, temporally with the most recently active conversation first.
- the conversations are separated into two tabs, “friends” 255 and “others” 260 .
- Friends tab 255 displays conversations with contacts that are also members of social network 100 .
- Others tab 266 displays conversations with participants who are not members of social network 100 .
- Drew Hamlin may have a contact stored as “Mom” in their client device 180 that does not correspond to a user on social network 100 .
- the conversation between Drew and his mom will be displayed in others tab 260 .
- Drew may receive a call from a telemarketer dialing from 650-555-5555, who is neither a member of social network 100 nor a stored contact of Drew's. However, because call log data is generated for this incoming call, the conversation between Drew and 650-555-5555 will be displayed in others tab 260 .
- the first conversation 220 represents a conversation between six users (all members of social network 100 )—Drew Hamlin, Joel Seligstein, Dan Hsiao, Will Bailey, and 2 others.
- Conversations 225 , 230 , and 235 represent conversations with individual contacts, in these examples, Grace O'Malley, Alex Chang, and James White.
- the summary includes the names 240 of the conversation participants, pictures 245 of the conversation participants, and an excerpt 250 from the most recent message in the conversation.
- conversations including multiple participants do not have pictures 245 to save space.
- the summaries are organized by time/date so that conversations with the most recent messages are placed higher in the interface.
- the name and/or picture of the user that the mailbox belongs to (the “mailbox owner”) is not displayed in the summary because it is understood that the mailbox only includes conversations in which the mailbox owner is a participant.
- Drew Hamlin 205 is the mailbox owner, so his name/picture are not shown in the summaries.
- the sub-set can be any number of participants from the conversation. For example, conversation 220 has six participants. In one embodiment, only the names of a sub-set of conversation participants are displayed. The name of the mailbox owner is not shown in the summary. The names of the other participants are grouped together and presented as “2 others.”
- the mailbox module 170 can select the sub-set of names in any of a number of ways. For example, the sub-set may include the names of the participants who created the most recent messages in the conversation, the name of the participant who started the conversation, or the names of the participants that the mailbox owner has the strongest affinity for or social relationship with.
- the brief excerpt 250 may be extracted from the content of the most recent message in the conversation.
- the excerpt 240 includes the text “But do you always have to match your shoes . . . ” which is the most recent message from this conversation 220 .
- the brief excerpt is extracted from other information that is not message content, such as metadata associated with the essage.
- the brief excerpt could be the title of the most recent e-mail message in the conversation.
- Object store 110 includes a profile for each user that comprises a profile name, an e-mail address, a profile picture, and other identifying information.
- the name of a participant as displayed in the summary is identified from the participant's profile.
- an e-mail received from Dan.Hsiao@yahoo.com can be identified from information in the object store 110 as being an e-mail from the user Dan Hsiao.
- conversation 225 between Drew Hamlin and Grace O'Malley includes a video chat taking place at 11:40 PM the previous day.
- video chat is facilitated through third-party video service 240 , such as Tango.
- Each Tango user has a specific user ID.
- the application automatically identifies Grace O'Malley's Tango account as social network 100 user Grace O'Malley from information stored in object store 110 .
- the mailbox module 170 aggregates messages of different formats (e-mail, SMS text, instant message) and communication protocols (voice, VoIP, video, etc.) into conversations. Each conversation thus becomes a historical record of all correspondence between a set of users regardless of the format of the messages or log data. For example, if Adam sends an online instant message to Bob and also separately sends an e-mail to Bob, both of these messages are placed into the same conversation. Similarly, if Bob leaves Adam a voicemail, an indicator of the voicemail (such as the date and time it was left), or, alternatively, transcribed text from the voicemail, will be placed into the conversation. As another example, if Adam calls Bob, the log of the call will be placed in the conversation as well.
- e-mail e-mail, SMS text, instant message
- communication protocols voice, VoIP, video, etc.
- conversation 245 between Drew Hamlin and Alex Chang includes a summary of the last communication, the text string “Dude, where'd you go?”, received the previous night at 11:30 PM. Whether this communication is a text message, e-mail, instant message, direct message from match.com, re-tweet or direct message on twitter, or voicemail is less relevant, at first glance, to Drew Hamlin compared to the actual content of the message and when it was received.
- the conversations window groups all communications, irrespective of format or protocol, in a single history for each of the user's real-world contacts.
- the mailbox module 170 identifies the sender and recipient of the message by comparing identifiers for the message to information in a social networking database. Once the sender and recipient are identified, the message is placed into the appropriate conversation that is associated with these two users.
- FIG. 3 illustrates a conversation that aggregates different message formats according to an embodiment.
- the user can reach this display by selecting one of the conversations in the interface of FIG. 2 .
- information pulled from user store 111 may populate an information panel 350 for a user.
- the interface includes buttons to message 355 , via a default messaging protocol (for example, SMS to the contact's primary phone number), and call 360 , via a primary phone number, the contact.
- the more actions button 365 launches a sub-menu with various other methods of communicating with the contact, such as e-mail addresses, alternative phone numbers, IM handles, etc.
- AIM American Online Instant Messenger
- the conversation can be updated live as new messages are received that update the conversation.
- a conversation is akin to a historical record of all correspondence between a set of users.
- a mailbox owner can scroll backwards in time to view the entire history of the messages in the conversation.
- some of the messages can have attachments such as pictures, videos, documents, etc.
- the pictures and video can be shown in the interface with a preview of the attachment instead of just a link to the attachment.
- an attached picture can be shown in the interface with a thumbnail of the picture.
- the conversation appears to include both outgoing and incoming messages and log data.
- conversations that have more than two participants behave like chat rooms.
- a conversation participant can send a message to the conversation, which is then distributed by the mailbox module 170 to all conversation participants.
- conference calling, multi-participant VoiP sessions, and multi-participant video chat sessions are represented as chat rooms using log data in lieu of messages.
- the mailbox module 170 may arrange conversations based on importance rather than temporally. By default, the system determines the placement for a conversation based on a number of factors. These factors include, but are not limited to:
- a social relationship between a mailbox owner and an object that is linked to the messages in the conversation. This includes a social relationship (e.g., friends, friends of friends, liking a page) between the mailbox owner and any of the participants in the conversation.
- a social relationship e.g., friends, friends of friends, liking a page
- e-mail is signed, such as through Sender Policy Framework (SPF) or Domain Keys Identified Mail (DKIM).
- SPF Sender Policy Framework
- DKIM Domain Keys Identified Mail
- the conversation is initiated by an object (e.g., user, page, event, or group) of the social networking system 100 .
- object e.g., user, page, event, or group
- Mailbox module 170 may also adjust the importance of a conversation based on the degree of “closeness” between the mailbox owner and the conversation participant or participants. For example, two users who frequently exchange communications may indicate that messages from the frequently engaged user is more important than a message from a less-frequently engaged user. In particular embodiments, users who interact on the social network (through pokes, likes, comments, etc.) more frequently are deemed to be more important. In particular embodiments, users who have longer communication duration (such as calls, video, etc.) are deemed to be more important. In particular embodiments, the user may specify groups, such as “family”, “work”, and the like, and rank the groups' relative importance.
- FIG. 5 illustrates an example network environment 500 .
- Network environment 500 includes a network 510 coupling one or more servers 520 and one or more clients 530 to each other.
- Network environment 500 also includes one or more data storage 540 linked to one or more servers 520 .
- Particular embodiments may be implemented in network environment 500 .
- social networking system frontend 120 may be written in software programs hosted by one or more servers 520 .
- event database 102 may be stored in one or more storage 540 .
- network 510 is an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a metropolitan area network (MAN), a portion of the Internet, or another network 510 or a combination of two or more such networks 510 .
- VPN virtual private network
- LAN local area network
- WLAN wireless LAN
- WAN wide area network
- MAN metropolitan area network
- the present disclosure contemplates any suitable network 510 .
- One or more links 550 couple a server 520 or a client 530 to network 510 .
- one or more links 550 each includes one or more wired, wireless, or optical links 550 .
- one or more links 550 each includes an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a MAN, a portion of the Internet, or another link 550 or a combination of two or more such links 550 .
- the present disclosure contemplates any suitable links 550 coupling servers 520 and clients 530 to network 510 .
- each server 520 may be a unitary server or may be a distributed server spanning multiple computers or multiple datacenters.
- Servers 520 may be of various types, such as, for example and without limitation, web server, news server, mail server, message server, advertising server, file server, application server, exchange server, database server, or proxy server.
- each server 520 may include hardware, software, or embedded logic components or a combination of two or more such components for carrying out the appropriate functionalities implemented or supported by server 520 .
- a web server is generally capable of hosting websites containing web pages or particular elements of web pages.
- a web server may host HTML files or other file types, or may dynamically create or constitute files upon a request, and communicate them to clients 530 in response to HTTP or other requests from clients 530 .
- a mail server is generally capable of providing electronic mail services to various clients 530 .
- a database server is generally capable of providing an interface for managing data stored in one or more data stores.
- one or more data storages 540 may be communicatively linked to one or more servers 520 via one or more links 550 .
- data storages 540 may be used to store various types of information.
- the information stored in data storages 540 may be organized according to specific data structures.
- each data storage 540 may be a relational database.
- Particular embodiments may provide interfaces that enable servers 520 or clients 530 to manage, e.g., retrieve, modify, add, or delete, the information stored in data storage 540 .
- each client 530 may be an electronic device including hardware, software, or embedded logic components or a combination of two or more such components and capable of carrying out the appropriate functions implemented or supported by client 530 .
- a client 530 may be a desktop computer system, a notebook computer system, a netbook computer system, a handheld electronic device, or a mobile telephone.
- the present disclosure contemplates any suitable clients 530 .
- a client 530 may enable a network user at client 530 to access network 530 .
- a client 530 may enable its user to communicate with other users at other clients 530 .
- a client 530 may have a web browser 532 , such as MICROSOFT INTERNET EXPLORER, GOOGLE CHROME or MOZILLA FIREFOX, and may have one or more add-ons, plug-ins, or other extensions, such as TOOLBAR or YAHOO TOOLBAR.
- a user at client 530 may enter a Uniform Resource Locator (URL) or other address directing the web browser 532 to a server 520 , and the web browser 532 may generate a Hyper Text Transfer Protocol (HTTP) request and communicate the HTTP request to server 520 .
- Server 520 may accept the HTTP request and communicate to client 530 one or more Hyper Text Markup Language (HTML) files responsive to the HTTP request.
- HTML Hyper Text Markup Language
- Client 530 may render a web page based on the HTML files from server 520 for presentation to the user.
- the present disclosure contemplates any suitable web page files.
- web pages may render from HTML files, Extensible Hyper Text Markup Language (XHTML) files, or Extensible Markup Language (XML) files, according to particular needs.
- Such pages may also execute scripts such as, for example and without limitation, those written in JAVASCRIPT, JAVA, MICROSOFT SILVERLIGHT, combinations of markup language and scripts such as AJAX (Asynchronous JAVASCRIPT and XML), and the like.
- AJAX Asynchronous JAVASCRIPT and XML
- FIG. 6 illustrates an example computer system 600 , which may be used with some embodiments of the present invention.
- This disclosure contemplates any suitable number of computer systems 600 .
- This disclosure contemplates computer system 600 taking any suitable physical form.
- computer system 600 may be an embedded computer system, a system-on-chip (SOC), a single-board computer system (SBC) (such as, for example, a computer-on-module (COM) or system-on-module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, or a combination of two or more of these.
- SOC system-on-chip
- SBC single-board computer system
- COM computer-on-module
- SOM system-on-module
- computer system 600 may include one or more computer systems 600 ; be unitary or distributed; span multiple locations; span multiple machines; or reside in a cloud, which may include one or more cloud components in one or more networks.
- one or more computer systems 600 may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein.
- one or more computer systems 600 may perform in real time or in batch mode one or more steps of one or more methods described or illustrated herein.
- One or more computer systems 600 may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate.
- computer system 600 includes a processor 602 , memory 604 , storage 606 , an input/output (I/O) interface 608 , a communication interface 610 , and a bus 612 .
- I/O input/output
- this disclosure describes and illustrates a particular computer system having a particular number of particular components in a particular arrangement, this disclosure contemplates any suitable computer system having any suitable number of any suitable components in any suitable arrangement.
- processor 602 includes hardware for executing instructions, such as those making up a computer program.
- processor 602 may retrieve (or fetch) the instructions from an internal register, an internal cache, memory 604 , or storage 606 ; decode and execute them; and then write one or more results to an internal register, an internal cache, memory 604 , or storage 606 .
- processor 602 may include one or more internal caches for data, instructions, or addresses. The present disclosure contemplates processor 602 including any suitable number of any suitable internal caches, where appropriate.
- processor 602 may include one or more instruction caches, one or more data caches, and one or more translation look-aside buffers (TLBs).
- Instructions in the instruction caches may be copies of instructions in memory 604 or storage 606 , and the instruction caches may speed up retrieval of those instructions by processor 602 .
- Data in the data caches may be copies of data in memory 604 or storage 606 for instructions executing at processor 602 to operate on; the results of previous instructions executed at processor 602 for access by subsequent instructions executing at processor 602 or for writing to memory 604 or storage 606 ; or other suitable data.
- the data caches may speed up read or write operations by processor 602 .
- the TLBs may speed up virtual-address translation for processor 602 .
- processor 602 may include one or more internal registers for data, instructions, or addresses.
- the present disclosure contemplates processor 602 including any suitable number of any suitable internal registers, where appropriate.
- processor 602 may include one or more arithmetic logic units (ALUs); be a multi-core processor; or include one or more processors 602 .
- ALUs arithmetic logic units
- this disclosure describes and illustrates a particular processor, this disclosure contemplates any suitable processor.
- memory 604 includes main memory for storing instructions for processor 602 to execute or data for processor 602 to operate on.
- computer system 600 may load instructions from storage 606 or another source (such as, for example, another computer system 600 ) to memory 604 .
- Processor 602 may then load the instructions from memory 604 to an internal register or internal cache.
- processor 602 may retrieve the instructions from the internal register or internal cache and decode them.
- processor 602 may write one or more results (which may be intermediate or final results) to the internal register or internal cache.
- Processor 602 may then write one or more of those results to memory 604 .
- processor 602 executes only instructions in one or more internal registers or internal caches or in memory 604 (as opposed to storage 606 or elsewhere) and operates only on data in one or more internal registers or internal caches or in memory 604 (as opposed to storage 606 or elsewhere).
- One or more memory buses (which may each include an address bus and a data bus) may couple processor 602 to memory 604 .
- Bus 612 may include one or more memory buses, as described below.
- one or more memory management units reside between processor 602 and memory 604 and facilitate accesses to memory 604 requested by processor 602 .
- memory 604 includes random access memory (RAM).
- This RAM may be volatile memory, where appropriate Where appropriate, this RAM may be dynamic RAM (DRAM) or static RAM (SRAM). Moreover, where appropriate, this RAM may be single-ported or multi-ported RAM.
- Memory 604 may include one or more memories 602 , where appropriate. Although this disclosure describes and illustrates particular memory, this disclosure contemplates any suitable memory.
- storage 606 includes mass storage for data or instructions.
- storage 606 may include an HDD, a floppy disk drive, flash memory, an optical disc, a magneto-optical disc, magnetic tape, or a Universal Serial Bus (USB) drive or a combination of two or more of these.
- Storage 606 may include removable or non-removable (or fixed) media, where appropriate.
- Storage 606 may be internal or external to computer system 600 , where appropriate.
- storage 606 is non-volatile, solid-state memory.
- storage 606 includes read-only memory (ROM).
- this ROM may be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory or a combination of two or more of these.
- This disclosure contemplates mass storage 606 taking any suitable physical form.
- Storage 606 may include one or more storage control units facilitating communication between processor 602 and storage 606 , where appropriate.
- storage 606 may include one or more storages 606 .
- this disclosure describes and illustrates particular storage, this disclosure contemplates any suitable storage.
- I/O interface 608 includes hardware, software, or both providing one or more interfaces for communication between computer system 600 and one or more I/O devices.
- Computer system 600 may include one or more of these I/O devices, where appropriate.
- One or more of these I/O devices may enable communication between a person and computer system 600 .
- an I/O device may include a keyboard, keypad, microphone, monitor, mouse, printer, scanner, speaker, still camera, stylus, tablet, touch screen, trackball, video camera, another suitable I/O device or a combination of two or more of these.
- An I/O device may include one or more sensors. This disclosure contemplates any suitable I/O devices and any suitable I/O interfaces 608 for them.
- I/O interface 608 may include one or more device or software drivers enabling processor 602 to drive one or more of these I/O devices.
- I/O interface 608 may include one or more I/O interfaces 608 , where appropriate. Although this disclosure describes and illustrates a particular I/O interface, this disclosure contemplates any suitable I/O interface.
- communication interface 610 includes hardware, software, or both providing one or more interfaces for communication (such as, for example, packet-based communication) between computer system 600 and one or more other computer systems 600 or one or more networks.
- communication interface 610 may include a network interface controller (NIC) or network adapter for communicating with an Ethernet or other wire-based network or a wireless NIC (WNIC) or wireless adapter for communicating with a wireless network, such as a WI-FI network.
- NIC network interface controller
- WNIC wireless NIC
- WI-FI network wireless network
- computer system 600 may communicate with an ad hoc network, a personal area network (PAN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), or one or more portions of the Internet or a combination of two or more of these.
- PAN personal area network
- LAN local area network
- WAN wide area network
- MAN metropolitan area network
- computer system 600 may communicate with a wireless PAN (WPAN) (such as, for example, a BLUETOOTH WPAN), a WI-FI network, a WI-MAX network, a cellular telephone network (such as, for example, a Global System for Mobile Communications (GSM) network), or other suitable wireless network or a combination of two or more of these.
- WPAN wireless PAN
- WI-FI wireless personal area network
- WI-MAX wireless personal area network
- WI-MAX wireless personal area network
- cellular telephone network such as, for example, a Global System for Mobile Communications (GSM) network
- GSM Global System
- bus 612 includes hardware, software, or both coupling components of computer system 600 to each other.
- bus 612 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT) interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBAND interconnect, a low-pin-count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a Video Electronics Standards Association local (VLB) bus, or another suitable bus or a combination of two or more of these.
- Bus 612 may include one or more buses 612 , where appropriate.
- FIG. 7 shows a schematic representation of the main components of an example computing platform 702 , according to various particular embodiments.
- Multipoint sensing devices generally include a controller 704 which may comprise a microcontroller or one or more processors configured to execute instructions and to carry out operations associated with a computing platform.
- controller 704 may be implemented as a single-chip, multiple chips and/or other electrical components including one or more integrated circuits and printed circuit boards.
- Controller 704 may optionally contain a cache memory unit for temporary local storage of instructions, data, or computer addresses. By way of example, using instructions retrieved from memory, controller 704 may control the reception and manipulation of input and output data between components of computing platform 702 .
- Controller 704 together with a suitable operating system may operate to execute instructions in the form of computer code and produce and use data.
- the operating system may be Windows-based, Mac-based, or Unix or Linux-based, or Symbian-based, among other suitable operating systems.
- the operating system, other computer code (including control client 708 described below) and/or data may be physically stored within a memory block 706 that is operatively coupled to controller 704 .
- Memory block 706 encompasses one or more storage media and generally provides a place to store computer code (e.g., software and/or firmware) and data that are used by the computing platform 702 .
- memory block 706 may include various tangible computer-readable storage media including Read-Only Memory (ROM) and/or Random-Access Memory (RAM).
- ROM Read-Only Memory
- RAM Random-Access Memory
- ROM acts to transfer data and instructions uni-directionally to controller 704
- RAM is used typically to transfer data and instructions in a bi-directional manner.
- Memory block 706 may also include one or more fixed storage devices in the form of, by way of example, solid-state hard disk drives (HDDs), among other suitable forms of memory coupled bi-directionally to controller 704 .
- Information may also reside on a removable storage medium loaded into or installed in multipoint sensing devices when needed. By way of example, any of a number of suitable memory cards may be loaded into computing platform 702 on a temporary or permanent basis.
- Controller 704 is also generally coupled to a variety of interfaces such as graphics control, video interface, input interface, output interface, and storage interface, and network interface, and these interfaces in turn are coupled to the appropriate devices.
- Controller 704 may connected to an input structure 714 and display 716 may be provided together, such an in the case of a touchscreen where a touch sensitive mechanism is provided in conjunction with the display 716 .
- the user may select or interact with displayed interface elements via the touch sensitive mechanism.
- the displayed interface may provide interactive functionality, allowing a user to navigate the displayed interface by touching the display 716 .
- Electric signals may be produced by microphone 710 and fed to earpiece 712 .
- Controller 704 may receive instruction signals from input structure 714 and control the operation of display 716 .
- display 716 may incorporate liquid crystal display (LCD), light emitting diode (LED), Interferometric modulator display (IMOD), or any other suitable display technology.
- Audio signals may be transmitted and received by means of an antenna 718 that may be connected through a radio interface 720 or audio input interface such as microphone 724 to codec 722 configured to process signals under control of controller 704 .
- multipoint sensing devices may be powered power source 732 .
- Mobile device may also include one or more user input devices 734 (other than input structure 714 ) that are operatively coupled to the controller 704 .
- input devices 734 are configured to transfer data, commands and responses from the outside world into multipoint sensing devices.
- mobile device may include a keyboard or mouse.
- Input devices 734 may also include one or more hard buttons.
- Display device 716 is generally configured to display a graphical user interface (GUI) that provides an easy to use visual interface between a user of the computing platform 702 and the operating system or application(s) running on the mobile device.
- GUI graphical user interface
- the GUI presents programs, files and operational options with graphical images.
- the user may select and activate various graphical images displayed on the display 716 in order to initiate functions and tasks associated therewith.
- a computer-readable storage medium encompasses one or more non-transitory, tangible computer-readable storage media possessing structure.
- a computer-readable storage medium may include a semiconductor-based or other integrated circuit (IC) (such, as for example, a field-programmable gate array (FPGA) or an application-specific IC (ASIC)), a hard disk, an HDD, a hybrid hard drive (HHD), an optical disc, an optical disc drive (ODD), a magneto-optical disc, a magneto-optical drive, a floppy disk, a floppy disk drive (FDD), magnetic tape, a holographic storage medium, a solid-state drive (SSD), a RAM-drive, a SECURE DIGITAL card, a SECURE DIGITAL drive, or another suitable computer-readable storage medium or a combination of two or more of these, where appropriate.
- IC semiconductor-based or other integrated circuit
- HDD high-programmable gate array
- HHD hybrid hard drive
- ODD optical disc drive
- reference to a computer-readable storage medium excludes any medium that is not eligible for patent protection under 35 U.S.C. ⁇ 101.
- reference to a computer-readable storage medium excludes transitory forms of signal transmission (such as a propagating electrical or electromagnetic signal per se) to the extent that they are not eligible for patent protection under 35 U.S.C. ⁇ 101.
- a computer-readable storage medium implements one or more portions of processor 602 (such as, for example, one or more internal registers or caches), one or more portions of memory 604 , one or more portions of storage 606 , or a combination of these, where appropriate.
- a computer-readable storage medium implements RAM or ROM.
- a computer-readable storage medium implements volatile or persistent memory.
- one or more computer-readable storage media embody software.
- software may encompass one or more applications, bytecode, one or more computer programs, one or more executables, one or more instructions, logic, machine code, one or more scripts, or source code, and vice versa, where appropriate.
- software includes one or more application programming interfaces (APIs).
- APIs application programming interfaces
- This disclosure contemplates any suitable software written or otherwise expressed in any suitable programming language or combination of programming languages.
- software is expressed as source code or object code.
- software is expressed in a higher-level programming language, such as, for example, C, Perl, or a suitable extension thereof.
- software is expressed in a lower-level programming language, such as assembly language (or machine code).
- software is expressed in JAVA.
- software is expressed in Hyper Text Markup Language (HTML), Extensible Markup Language (XML), or other suitable markup language.
- HTML Hyper Text Markup Language
- XML Extensible Markup Language
- a software module is implemented with a computer program product comprising a computer-readable medium containing computer program code, which can be executed by a computer processor for performing any or all of the steps, operations, or processes described.
- Embodiments of the invention may also relate to an apparatus for performing the operations herein.
- This apparatus may be specially constructed for the required purposes, and/or it may comprise a general-purpose computing device selectively activated or reconfigured by a computer program stored in the computer.
- a computer program may be stored in a tangible computer readable storage medium or any type of media suitable for storing electronic instructions, and coupled to a computer system bus.
- any computing systems referred to in the specification may include a single processor or may be architectures employing multiple processor designs for increased computing capability.
Abstract
Methods and systems directed to a user interface having a conversations view that aggregates all the communications a given users has with his or her contacts across multiple communication means and protocols. Messages between a user and a particular contact are threaded together, regardless of their format or protocol in order to provide the user with a quick history of all communications with his or her contacts.
Description
- The present disclosure relates generally to integration of multiple communication protocols between a user and a plurality of contacts into a single conversation view for each of the plurality of contacts, and, in particular, integrating the conversations view with interactions and communications on a social networking system.
- The advent of social networking, instant messaging, and ubiquitous wireless data networks allows individuals to select from a plurality of methods to communicate with their contacts. In the past, communications between individuals were limited to physical mail, wired telephones, fax, and wireless telephones. However, with the expansion of the Internet, coupled with mobile devices capable of maintaining a data connection to the Internet, users may select from a plethora of communications means, such as: cellular phone calls, e-mail to multiple accounts, multiple instant messaging protocols, twitter messages, voice-over-IP (VoIP) calls, video chats, SMS and MMS messages, social networking messages, voicemail, push-to-talk (PTT), and dedicated notification-based message clients such as the Blackberry Messenger and Kik Messenger. Typically, users are less concerned by the actual communications method used with their contacts, and more concerned with the content of the communication and to or from whom it was conveyed.
-
FIG. 1 illustrates an example social networking environment. -
FIG. 2 illustrates an example interface implementing a conversations view. -
FIG. 3 illustrates an example interface for viewing a particular conversation -
FIG. 4 illustrates an example method of synchronizing offline conversation data with a social networking system. -
FIG. 5 illustrates an example network environment -
FIG. 6 illustrates an example computing system. -
FIG. 7 illustrates an example mobile device. - The figures depict various embodiments of the present invention for purposes of illustration only. One skilled in the art will readily recognize from the following discussion that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the invention described herein.
- Particular embodiments relate to a “conversations view” presented to the user of a computing device. The conversations view aggregates all interactions between a particular user and one of his contacts over all communications media, and presents the history of the conversation in a single temporally-arranged thread.
- Implementations of the present invention extend these concepts by allowing an application, whether local to the user's device or residing at a server hosted by a social networking site, to synchronize all the user's actions on the social networking site with the local application, or all the user's device-local communications with the application residing on the social networking site. Thus the application provides a fully integrated conversation log of any communication between the user and one or more contacts.
-
FIG. 1 is a high-level block diagram of an integrated messaging system according to one embodiment.FIG. 1 illustrates asocial networking system 100,client devices cellular network 300, third-party website 190, third-party IM service 210, third-partysocial media site 220,VoIP service 230,Video Service 240, and other third-arty services providers 250.FIG. 1 also includesoffline storage 200 that is local toclient devices Client devices mobile phone 180 a anddesktop computer 180 b, but client devices 180 may comprise any type of computing device, including mobile phone, laptop, netbook tablet, cable box, television, etc. The distinction between 180 a and 180 b is merely thatclient device 180 a connects tonetwork 170 through a wirelesscellular network 300, such as GPRS-based and CDMA-based wireless networks, as well as 802.16 WiMax and long-range wireless data networks.Client devices FIG. 1 asoffline storage 200. For the purposes of this disclosure, “client device 180” includes bothclient devices -
Client devices external websites 190 andother service providers client devices client devices instant messaging service 210, such as Google Chat, by visiting and logging into their Gmail account via a web browser, or by installing and running a dedicated Google Talk application. Similarly,client devices VoIP service 230, such as Skype,Video service 240, such as FaceTime or Tango, andother service providers 250.Other service providers 250 may include, but is not limited to, e-mail servers, other social-networking websites, shopping sites, review sites such as Yelp!, and any third-party website on which a user maintains an account to interact with content or other users. This disclosure contemplates any type of third-party service provider 250 connected tonetwork 170. - A user of the
client devices social networking system 100 via an application, such as a web browser or a native application, to perform operations such as browsing content, posting and sending messages, retrieving and sorting messages received from other users, and the like. Messages can be in any electronic message format such as electronic mail (“e-mail”) messages, chat messages, comments left on a user's webpage, and short message service (SMS) text messages. Messages can contain plain text, or they can contain other content such as pictures, videos, and attachments. Each user has a mailbox that includes messages that are both sent and received by the user. -
Client device 180 a, connected throughwireless network 300, may also interact with other client devices through the circuit-switched, or non-data, portion ofwireless network 300. For example, a user atclient device 180 a may transmit and receive a non-VoIP call to a cellular phone or landline, transmit and receive a text or multi-media message through the SMS or MMS channels, or receive push notifications through the SMS control channel. - Additionally, the
third party website 190 can also interact with thesocial networking system 100 via a system-provided application programming interface (API) 150. For example, the third party website can perform operations supported by the API, such as delivering messages to thesocial network system 100, retrieving messages stored by thesocial networking system 100, and obtaining social information about users of thesocial networking system 100. - The
social networking system 100 comprises anobject store 110, agraph information store 120, and amailbox module 170. Theobject store 110 stores information on objects, such as users, represented in or by thesocial networking environment 100. Thegraph information store 120 stores information on the relationships of the objects in theobject store 110. Themailbox module 170 provides functionality for powering the messaging system. - In one embodiment, the
mailbox module 170 receives, organizes, and presents messages to/from users in thesocial networking system 100 via an interactive user interface. The user interface can be, for example, a webpage that is viewed by a user with a web browser. The interactive user interface may be an application residing on the user'scomputing device mailbox module 170 includes organizing messages into conversations, quick reply, categorizing conversations, conversation states, conversation searching, new message notification, formatting of e-mails, forwarding messages between conversations, and invitation based conversion, among others. In particular embodiments, messages occurring off the social network are synchronized withmailbox module 170 when theclient devices entities 190 and 210-250 are pulled automatically through one ormore APIs 50 and stored atmailbox module 170. In particular embodiments, a mixture of client-push and server-pulls are used to aggregate all communications atmailbox module 170. In particular embodiments, a local application onclient devices mailbox module 170 and pulls data fromsocial network 100 and third-party entities 190 and 210-250 to mobile device 180. -
FIG. 4 is a flowchart illustrating an example method of aggregating all the messages inmailbox module 170. Atstep 401,mobile device - At
step 402, theclient device type 180 a connected tonetwork 170 through a wirelesscellular network 300. Often, mobile devices have limited data coverage due to interference or poor cellular reception. Thus, it is not always possible to connect tosocial networking system 100 via wirelesscellular network 300 andnetwork 170. Although less of an issue forclient device 180 b, it is conceivable that a connection tonetwork 170 is not immediately available, as well. - In the case a data connection is unavailable, in
Step 403client devices - At
Step 404, client device 180 waits until a data connection is available. In particular embodiments, client device 180 waits a predetermined period of time before checking for a data connection. In particular embodiments, an application residing on client device 180 monitors the connection betweenclient device 180 a and wirelesscellular network 300 and notifies other applications when a data connection is available. - At
Step 405, after detecting a data connection, client device 180 transmits the message, text transcribed from a communication lacking text, or log data for a communication lacking text tosocial networking system 100 vianetwork 170. Client device 180 may connect tosocial networking system 100 via a dedicated API, or though standard web protocols. In particular embodiments, only a portion of messages containing text, such as emails, are transmitted in order to save bandwidth and battery life. - At
Step 406,social networking system 100 receives the communication, and inStep 407, stores it in theobject store 110 to be managed bymailbox module 170. As stated earlier, the communication transmitted or received inStep 401 may be of any suitable type, and utilize either the packet-switched data network of wirelesscellular network 300, the circuit-switched (voice) channels of wirelesscellular network 300, or the SMS channel of wirelesscellular network 300. In particular embodiments, all data transmissions utilizing the packet-switched data network are pulled from their respective third-party servers viamailbox module 170. For example, themailbox module 170 could periodically transmit a request to a user's Yahoo! mail server, providing authentication credentials for the user, and pull new mail tomailbox 170 before transmitting it to the user's client device 180. In particular embodiments,mailbox module 170 acts as a messaging gateway through which all data messages pass. - In one embodiment, the
mailbox module 170 aggregates messages into “conversations.” Each conversation includes messages associated with a set of users (“participants”) and includes all messages sent between users in the set. For example, assume that Adam is a user ofsocial networking system 100 and Bob is one of his contacts. If Adam sends communicates with Bob, the message creates a new conversation associated with Adam and Bob. Each time Adam communicates with Bob, that new communication (whether the message itself, transcribed text, or log data) is added to the existing conversation. A conversation thus becomes a historical record of all correspondence between a set of users. - A set of users can include two or more users. For example, if Adam sends an e-mail message to Bob and copies Charles, this message creates a new three-way conversation between Adam, Bob, and Charles. This three-way conversation is distinct from the one on one conversation between Adam and Bob that was created in the prior example. In other words, communications in the Adam-Bob conversation are not included in the Adam-Bob-Charles conversation, and vice versa.
-
FIG. 2 illustrates a list of conversations according to an embodiment. Shown is an interface for browsing the conversations for a user namedDrew Hamlin 205. Drew has selected to view his communications by launching the a dedicated conversations application, or accessing a link on a web page ofsocial networking system 100. For didactic purposes,FIG. 2 illustrates the interface of a dedicated application, such as on a touchscreen-operated mobile phone. In particular embodiments, the interface includes an option for selecting the conversations view 201, an option for browsing a list ofcontacts 202, and option to browse contacts marked asfavorites 203, and an option to launch thekeypad 204. In particular embodiments, the interface also includes asearch bar 205, which allows the user to search both contact names and the content of conversations. - Upon selecting the
conversations button 201, the application opens a list of conversations 220-235, arranged in this example, temporally with the most recently active conversation first. The conversations are separated into two tabs, “friends” 255 and “others” 260.Friends tab 255 displays conversations with contacts that are also members ofsocial network 100. Others tab 266 displays conversations with participants who are not members ofsocial network 100. For example, Drew Hamlin may have a contact stored as “Mom” in their client device 180 that does not correspond to a user onsocial network 100. The conversation between Drew and his mom will be displayed inothers tab 260. As another example, Drew may receive a call from a telemarketer dialing from 650-555-5555, who is neither a member ofsocial network 100 nor a stored contact of Drew's. However, because call log data is generated for this incoming call, the conversation between Drew and 650-555-5555 will be displayed inothers tab 260. - The
first conversation 220 represents a conversation between six users (all members of social network 100)—Drew Hamlin, Joel Seligstein, Dan Hsiao, Will Bailey, and 2 others.Conversations - For each conversation, a brief summary of the conversation is presented in the interface. In one embodiment, the summary includes the
names 240 of the conversation participants,pictures 245 of the conversation participants, and anexcerpt 250 from the most recent message in the conversation. In one embodiment, conversations including multiple participants do not havepictures 245 to save space. The summaries are organized by time/date so that conversations with the most recent messages are placed higher in the interface. The name and/or picture of the user that the mailbox belongs to (the “mailbox owner”) is not displayed in the summary because it is understood that the mailbox only includes conversations in which the mailbox owner is a participant. In this figure,Drew Hamlin 205 is the mailbox owner, so his name/picture are not shown in the summaries. - When a conversation has a large number of participants, in one embodiment only a sub-set of the names are presented to simplify the summary. The sub-set can be any number of participants from the conversation. For example,
conversation 220 has six participants. In one embodiment, only the names of a sub-set of conversation participants are displayed. The name of the mailbox owner is not shown in the summary. The names of the other participants are grouped together and presented as “2 others.” Themailbox module 170 can select the sub-set of names in any of a number of ways. For example, the sub-set may include the names of the participants who created the most recent messages in the conversation, the name of the participant who started the conversation, or the names of the participants that the mailbox owner has the strongest affinity for or social relationship with. - In one embodiment, the
brief excerpt 250 may be extracted from the content of the most recent message in the conversation. For example, inconversation 220, theexcerpt 240 includes the text “But do you always have to match your shoes . . . ” which is the most recent message from thisconversation 220. In other embodiments, the brief excerpt is extracted from other information that is not message content, such as metadata associated with the essage. For example, the brief excerpt could be the title of the most recent e-mail message in the conversation. - Users are objects in the social networking system.
Object store 110 includes a profile for each user that comprises a profile name, an e-mail address, a profile picture, and other identifying information. In one embodiment, the name of a participant as displayed in the summary is identified from the participant's profile. For example, an e-mail received from Dan.Hsiao@yahoo.com can be identified from information in theobject store 110 as being an e-mail from the user Dan Hsiao. For example,conversation 225 between Drew Hamlin and Grace O'Malley includes a video chat taking place at 11:40 PM the previous day. In particular embodiments, video chat is facilitated through third-party video service 240, such as Tango. Each Tango user has a specific user ID. Thus when Drew has a video call between his Tango account and Grace O'Malley's Tango account, the application automatically identifies Grace O'Malley's Tango account associal network 100 user Grace O'Malley from information stored inobject store 110. - In one embodiment, the
mailbox module 170 aggregates messages of different formats (e-mail, SMS text, instant message) and communication protocols (voice, VoIP, video, etc.) into conversations. Each conversation thus becomes a historical record of all correspondence between a set of users regardless of the format of the messages or log data. For example, if Adam sends an online instant message to Bob and also separately sends an e-mail to Bob, both of these messages are placed into the same conversation. Similarly, if Bob leaves Adam a voicemail, an indicator of the voicemail (such as the date and time it was left), or, alternatively, transcribed text from the voicemail, will be placed into the conversation. As another example, if Adam calls Bob, the log of the call will be placed in the conversation as well. - As an example,
conversation 245 between Drew Hamlin and Alex Chang includes a summary of the last communication, the text string “Dude, where'd you go?”, received the previous night at 11:30 PM. Whether this communication is a text message, e-mail, instant message, direct message from match.com, re-tweet or direct message on twitter, or voicemail is less relevant, at first glance, to Drew Hamlin compared to the actual content of the message and when it was received. Thus the conversations window groups all communications, irrespective of format or protocol, in a single history for each of the user's real-world contacts. - To accomplish this, for each message or log data received by
mailbox module 170 inStep 406, themailbox module 170 identifies the sender and recipient of the message by comparing identifiers for the message to information in a social networking database. Once the sender and recipient are identified, the message is placed into the appropriate conversation that is associated with these two users. -
FIG. 3 illustrates a conversation that aggregates different message formats according to an embodiment. The user can reach this display by selecting one of the conversations in the interface ofFIG. 2 . Optionally, information pulled fromuser store 111 may populate aninformation panel 350 for a user. In particular embodiments, the interface includes buttons tomessage 355, via a default messaging protocol (for example, SMS to the contact's primary phone number), and call 360, via a primary phone number, the contact. In particular embodiments, themore actions button 365 launches a sub-menu with various other methods of communicating with the contact, such as e-mail addresses, alternative phone numbers, IM handles, etc. - Shown is a one on one conversation between user Drew Hamlin and James White that comprises of a series of
messages 315 of different formats. Icons within each message indicate the format that the message was delivered in.Icon 320 indicates that the first message is an e-mail.Icon 325 indicates the e-mail was marked by James as “urgent.”Icon 340 is an icon of a paperclip, representing that the email includes an attachment.Icon 325 indicates that the second message is a text message sent from a phone.Icon 330 indicates that the third group of messages are instant messages, in particular from the American Online Instant Messenger (AIM) service.Icon 335 indicates that there was an incoming phone call from James White, and the entry associated withicon 335 indicates that the call was received yesterday at 11:00 AM and lasted 4 minutes, 53 seconds. - The conversation can be updated live as new messages are received that update the conversation. As discussed above, a conversation is akin to a historical record of all correspondence between a set of users. Through the interface, a mailbox owner can scroll backwards in time to view the entire history of the messages in the conversation. In one embodiment, some of the messages can have attachments such as pictures, videos, documents, etc. The pictures and video can be shown in the interface with a preview of the attachment instead of just a link to the attachment. For example, an attached picture can be shown in the interface with a thumbnail of the picture. For the mailbox owner, the conversation appears to include both outgoing and incoming messages and log data.
- In one embodiment, conversations that have more than two participants behave like chat rooms. A conversation participant can send a message to the conversation, which is then distributed by the
mailbox module 170 to all conversation participants. In particular embodiments, conference calling, multi-participant VoiP sessions, and multi-participant video chat sessions are represented as chat rooms using log data in lieu of messages. - In one embodiment, the
mailbox module 170 may arrange conversations based on importance rather than temporally. By default, the system determines the placement for a conversation based on a number of factors. These factors include, but are not limited to: - The nature of a social relationship between a mailbox owner and an object that is linked to the messages in the conversation. This includes a social relationship (e.g., friends, friends of friends, liking a page) between the mailbox owner and any of the participants in the conversation.
- Whether the e-mail is signed, such as through Sender Policy Framework (SPF) or Domain Keys Identified Mail (DKIM).
- Whether any messages in the conversation contain a known virus.
- Whether any messages in the conversation contain known spam.
- Whether the conversation is initiated by a sender with a bad reputation (e.g., have other users blocked the sender?).
- Whether the conversation is initiated by an object (e.g., user, page, event, or group) of the
social networking system 100. - Whether the conversation includes messages with attachments.
- Whether the conversation is initiated by an e-mail address that the mailbox owner has white-listed or black-listed.
-
Mailbox module 170 may also adjust the importance of a conversation based on the degree of “closeness” between the mailbox owner and the conversation participant or participants. For example, two users who frequently exchange communications may indicate that messages from the frequently engaged user is more important than a message from a less-frequently engaged user. In particular embodiments, users who interact on the social network (through pokes, likes, comments, etc.) more frequently are deemed to be more important. In particular embodiments, users who have longer communication duration (such as calls, video, etc.) are deemed to be more important. In particular embodiments, the user may specify groups, such as “family”, “work”, and the like, and rank the groups' relative importance. - While the foregoing embodiments may be implemented in a variety of network configurations, the following illustrates an example network environment for didactic, and not limiting, purposes.
FIG. 5 illustrates anexample network environment 500.Network environment 500 includes anetwork 510 coupling one ormore servers 520 and one ormore clients 530 to each other.Network environment 500 also includes one ormore data storage 540 linked to one ormore servers 520. Particular embodiments may be implemented innetwork environment 500. For example, socialnetworking system frontend 120 may be written in software programs hosted by one ormore servers 520. For example, event database 102 may be stored in one ormore storage 540. In particular embodiments,network 510 is an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a metropolitan area network (MAN), a portion of the Internet, or anothernetwork 510 or a combination of two or moresuch networks 510. The present disclosure contemplates anysuitable network 510. - One or
more links 550 couple aserver 520 or aclient 530 tonetwork 510. In particular embodiments, one ormore links 550 each includes one or more wired, wireless, oroptical links 550. In particular embodiments, one ormore links 550 each includes an intranet, an extranet, a VPN, a LAN, a WLAN, a WAN, a MAN, a portion of the Internet, or anotherlink 550 or a combination of two or moresuch links 550. The present disclosure contemplates anysuitable links 550coupling servers 520 andclients 530 tonetwork 510. - In particular embodiments, each
server 520 may be a unitary server or may be a distributed server spanning multiple computers or multiple datacenters.Servers 520 may be of various types, such as, for example and without limitation, web server, news server, mail server, message server, advertising server, file server, application server, exchange server, database server, or proxy server. In particular embodiments, eachserver 520 may include hardware, software, or embedded logic components or a combination of two or more such components for carrying out the appropriate functionalities implemented or supported byserver 520. For example, a web server is generally capable of hosting websites containing web pages or particular elements of web pages. More specifically, a web server may host HTML files or other file types, or may dynamically create or constitute files upon a request, and communicate them toclients 530 in response to HTTP or other requests fromclients 530. A mail server is generally capable of providing electronic mail services tovarious clients 530. A database server is generally capable of providing an interface for managing data stored in one or more data stores. - In particular embodiments, one or more data storages 540 may be communicatively linked to one or
more servers 520 via one ormore links 550. In particular embodiments, data storages 540 may be used to store various types of information. In particular embodiments, the information stored indata storages 540 may be organized according to specific data structures. In particular embodiment, eachdata storage 540 may be a relational database. Particular embodiments may provide interfaces that enableservers 520 orclients 530 to manage, e.g., retrieve, modify, add, or delete, the information stored indata storage 540. - In particular embodiments, each
client 530 may be an electronic device including hardware, software, or embedded logic components or a combination of two or more such components and capable of carrying out the appropriate functions implemented or supported byclient 530. For example and without limitation, aclient 530 may be a desktop computer system, a notebook computer system, a netbook computer system, a handheld electronic device, or a mobile telephone. The present disclosure contemplates anysuitable clients 530. Aclient 530 may enable a network user atclient 530 to accessnetwork 530. Aclient 530 may enable its user to communicate with other users atother clients 530. - A
client 530 may have aweb browser 532, such as MICROSOFT INTERNET EXPLORER, GOOGLE CHROME or MOZILLA FIREFOX, and may have one or more add-ons, plug-ins, or other extensions, such as TOOLBAR or YAHOO TOOLBAR. A user atclient 530 may enter a Uniform Resource Locator (URL) or other address directing theweb browser 532 to aserver 520, and theweb browser 532 may generate a Hyper Text Transfer Protocol (HTTP) request and communicate the HTTP request toserver 520.Server 520 may accept the HTTP request and communicate toclient 530 one or more Hyper Text Markup Language (HTML) files responsive to the HTTP request.Client 530 may render a web page based on the HTML files fromserver 520 for presentation to the user. The present disclosure contemplates any suitable web page files. As an example and not by way of limitation, web pages may render from HTML files, Extensible Hyper Text Markup Language (XHTML) files, or Extensible Markup Language (XML) files, according to particular needs. Such pages may also execute scripts such as, for example and without limitation, those written in JAVASCRIPT, JAVA, MICROSOFT SILVERLIGHT, combinations of markup language and scripts such as AJAX (Asynchronous JAVASCRIPT and XML), and the like. Herein, reference to a web page encompasses one or more corresponding web page files (which a browser may use to render the web page) and vice versa, where appropriate. -
FIG. 6 illustrates anexample computer system 600, which may be used with some embodiments of the present invention. This disclosure contemplates any suitable number ofcomputer systems 600. This disclosure contemplatescomputer system 600 taking any suitable physical form. As example and not by way of limitation,computer system 600 may be an embedded computer system, a system-on-chip (SOC), a single-board computer system (SBC) (such as, for example, a computer-on-module (COM) or system-on-module (SOM)), a desktop computer system, a laptop or notebook computer system, an interactive kiosk, a mainframe, a mesh of computer systems, a mobile telephone, a personal digital assistant (PDA), a server, or a combination of two or more of these. Where appropriate,computer system 600 may include one ormore computer systems 600; be unitary or distributed; span multiple locations; span multiple machines; or reside in a cloud, which may include one or more cloud components in one or more networks. Where appropriate, one ormore computer systems 600 may perform without substantial spatial or temporal limitation one or more steps of one or more methods described or illustrated herein. As an example and not by way of limitation, one ormore computer systems 600 may perform in real time or in batch mode one or more steps of one or more methods described or illustrated herein. One ormore computer systems 600 may perform at different times or at different locations one or more steps of one or more methods described or illustrated herein, where appropriate. - In particular embodiments,
computer system 600 includes aprocessor 602,memory 604,storage 606, an input/output (I/O)interface 608, acommunication interface 610, and abus 612. Although this disclosure describes and illustrates a particular computer system having a particular number of particular components in a particular arrangement, this disclosure contemplates any suitable computer system having any suitable number of any suitable components in any suitable arrangement. - In particular embodiments,
processor 602 includes hardware for executing instructions, such as those making up a computer program. As an example and not by way of limitation, to execute instructions,processor 602 may retrieve (or fetch) the instructions from an internal register, an internal cache,memory 604, orstorage 606; decode and execute them; and then write one or more results to an internal register, an internal cache,memory 604, orstorage 606. In particular embodiments,processor 602 may include one or more internal caches for data, instructions, or addresses. The present disclosure contemplatesprocessor 602 including any suitable number of any suitable internal caches, where appropriate. As an example and not by way of limitation,processor 602 may include one or more instruction caches, one or more data caches, and one or more translation look-aside buffers (TLBs). Instructions in the instruction caches may be copies of instructions inmemory 604 orstorage 606, and the instruction caches may speed up retrieval of those instructions byprocessor 602. Data in the data caches may be copies of data inmemory 604 orstorage 606 for instructions executing atprocessor 602 to operate on; the results of previous instructions executed atprocessor 602 for access by subsequent instructions executing atprocessor 602 or for writing tomemory 604 orstorage 606; or other suitable data. The data caches may speed up read or write operations byprocessor 602. The TLBs may speed up virtual-address translation forprocessor 602. In particular embodiments,processor 602 may include one or more internal registers for data, instructions, or addresses. The present disclosure contemplatesprocessor 602 including any suitable number of any suitable internal registers, where appropriate. Where appropriate,processor 602 may include one or more arithmetic logic units (ALUs); be a multi-core processor; or include one ormore processors 602. Although this disclosure describes and illustrates a particular processor, this disclosure contemplates any suitable processor. - In particular embodiments,
memory 604 includes main memory for storing instructions forprocessor 602 to execute or data forprocessor 602 to operate on. As an example and not by way of limitation,computer system 600 may load instructions fromstorage 606 or another source (such as, for example, another computer system 600) tomemory 604.Processor 602 may then load the instructions frommemory 604 to an internal register or internal cache. To execute the instructions,processor 602 may retrieve the instructions from the internal register or internal cache and decode them. During or after execution of the instructions,processor 602 may write one or more results (which may be intermediate or final results) to the internal register or internal cache.Processor 602 may then write one or more of those results tomemory 604. In particular embodiments,processor 602 executes only instructions in one or more internal registers or internal caches or in memory 604 (as opposed tostorage 606 or elsewhere) and operates only on data in one or more internal registers or internal caches or in memory 604 (as opposed tostorage 606 or elsewhere). One or more memory buses (which may each include an address bus and a data bus) may coupleprocessor 602 tomemory 604.Bus 612 may include one or more memory buses, as described below. In particular embodiments, one or more memory management units (MMUs) reside betweenprocessor 602 andmemory 604 and facilitate accesses tomemory 604 requested byprocessor 602. In particular embodiments,memory 604 includes random access memory (RAM). This RAM may be volatile memory, where appropriate Where appropriate, this RAM may be dynamic RAM (DRAM) or static RAM (SRAM). Moreover, where appropriate, this RAM may be single-ported or multi-ported RAM. The present disclosure contemplates any suitable RAM.Memory 604 may include one ormore memories 602, where appropriate. Although this disclosure describes and illustrates particular memory, this disclosure contemplates any suitable memory. - In particular embodiments,
storage 606 includes mass storage for data or instructions. As an example and not by way of limitation,storage 606 may include an HDD, a floppy disk drive, flash memory, an optical disc, a magneto-optical disc, magnetic tape, or a Universal Serial Bus (USB) drive or a combination of two or more of these.Storage 606 may include removable or non-removable (or fixed) media, where appropriate.Storage 606 may be internal or external tocomputer system 600, where appropriate. In particular embodiments,storage 606 is non-volatile, solid-state memory. In particular embodiments,storage 606 includes read-only memory (ROM). Where appropriate, this ROM may be mask-programmed ROM, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), electrically alterable ROM (EAROM), or flash memory or a combination of two or more of these. This disclosure contemplatesmass storage 606 taking any suitable physical form.Storage 606 may include one or more storage control units facilitating communication betweenprocessor 602 andstorage 606, where appropriate. Where appropriate,storage 606 may include one ormore storages 606. Although this disclosure describes and illustrates particular storage, this disclosure contemplates any suitable storage. - In particular embodiments, I/
O interface 608 includes hardware, software, or both providing one or more interfaces for communication betweencomputer system 600 and one or more I/O devices.Computer system 600 may include one or more of these I/O devices, where appropriate. One or more of these I/O devices may enable communication between a person andcomputer system 600. As an example and not by way of limitation, an I/O device may include a keyboard, keypad, microphone, monitor, mouse, printer, scanner, speaker, still camera, stylus, tablet, touch screen, trackball, video camera, another suitable I/O device or a combination of two or more of these. An I/O device may include one or more sensors. This disclosure contemplates any suitable I/O devices and any suitable I/O interfaces 608 for them. Where appropriate, I/O interface 608 may include one or more device or softwaredrivers enabling processor 602 to drive one or more of these I/O devices. I/O interface 608 may include one or more I/O interfaces 608, where appropriate. Although this disclosure describes and illustrates a particular I/O interface, this disclosure contemplates any suitable I/O interface. - In particular embodiments,
communication interface 610 includes hardware, software, or both providing one or more interfaces for communication (such as, for example, packet-based communication) betweencomputer system 600 and one or moreother computer systems 600 or one or more networks. As an example and not by way of limitation,communication interface 610 may include a network interface controller (NIC) or network adapter for communicating with an Ethernet or other wire-based network or a wireless NIC (WNIC) or wireless adapter for communicating with a wireless network, such as a WI-FI network. This disclosure contemplates any suitable network and anysuitable communication interface 610 for it. As an example and not by way of limitation,computer system 600 may communicate with an ad hoc network, a personal area network (PAN), a local area network (LAN), a wide area network (WAN), a metropolitan area network (MAN), or one or more portions of the Internet or a combination of two or more of these. One or more portions of one or more of these networks may be wired or wireless. As an example,computer system 600 may communicate with a wireless PAN (WPAN) (such as, for example, a BLUETOOTH WPAN), a WI-FI network, a WI-MAX network, a cellular telephone network (such as, for example, a Global System for Mobile Communications (GSM) network), or other suitable wireless network or a combination of two or more of these.Computer system 600 may include anysuitable communication interface 610 for any of these networks, where appropriate.Communication interface 610 may include one ormore communication interfaces 610, where appropriate. Although this disclosure describes and illustrates a particular communication interface, this disclosure contemplates any suitable communication interface. - In particular embodiments,
bus 612 includes hardware, software, or both coupling components ofcomputer system 600 to each other. As an example and not by way of limitation,bus 612 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a front-side bus (FSB), a HYPERTRANSPORT (HT) interconnect, an Industry Standard Architecture (ISA) bus, an INFINIBAND interconnect, a low-pin-count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a Video Electronics Standards Association local (VLB) bus, or another suitable bus or a combination of two or more of these.Bus 612 may include one ormore buses 612, where appropriate. Although this disclosure describes and illustrates a particular bus, this disclosure contemplates any suitable bus or interconnect. - The client-side functionality described above can be implemented as a series of instructions stored on a computer-readable storage medium that, when executed, cause a programmable processor to implement the operations described above. While the client device 122 may be implemented in a variety of different hardware and computing systems,
FIG. 7 shows a schematic representation of the main components of an example computing platform 702, according to various particular embodiments. Multipoint sensing devices generally include acontroller 704 which may comprise a microcontroller or one or more processors configured to execute instructions and to carry out operations associated with a computing platform. In various embodiments,controller 704 may be implemented as a single-chip, multiple chips and/or other electrical components including one or more integrated circuits and printed circuit boards.Controller 704 may optionally contain a cache memory unit for temporary local storage of instructions, data, or computer addresses. By way of example, using instructions retrieved from memory,controller 704 may control the reception and manipulation of input and output data between components of computing platform 702. -
Controller 704 together with a suitable operating system may operate to execute instructions in the form of computer code and produce and use data. By way of example and not by way of limitation, the operating system may be Windows-based, Mac-based, or Unix or Linux-based, or Symbian-based, among other suitable operating systems. The operating system, other computer code (including control client 708 described below) and/or data may be physically stored within amemory block 706 that is operatively coupled tocontroller 704. -
Memory block 706 encompasses one or more storage media and generally provides a place to store computer code (e.g., software and/or firmware) and data that are used by the computing platform 702. By way of example,memory block 706 may include various tangible computer-readable storage media including Read-Only Memory (ROM) and/or Random-Access Memory (RAM). As is well known in the art, ROM acts to transfer data and instructions uni-directionally tocontroller 704, and RAM is used typically to transfer data and instructions in a bi-directional manner.Memory block 706 may also include one or more fixed storage devices in the form of, by way of example, solid-state hard disk drives (HDDs), among other suitable forms of memory coupled bi-directionally tocontroller 704. Information may also reside on a removable storage medium loaded into or installed in multipoint sensing devices when needed. By way of example, any of a number of suitable memory cards may be loaded into computing platform 702 on a temporary or permanent basis. -
Controller 704 is also generally coupled to a variety of interfaces such as graphics control, video interface, input interface, output interface, and storage interface, and network interface, and these interfaces in turn are coupled to the appropriate devices. In certain embodiment,Controller 704 may connected to aninput structure 714 anddisplay 716 may be provided together, such an in the case of a touchscreen where a touch sensitive mechanism is provided in conjunction with thedisplay 716. In such embodiments, the user may select or interact with displayed interface elements via the touch sensitive mechanism. In this way, the displayed interface may provide interactive functionality, allowing a user to navigate the displayed interface by touching thedisplay 716. - Electric signals (e.g., analog) may be produced by
microphone 710 and fed toearpiece 712.Controller 704 may receive instruction signals frominput structure 714 and control the operation ofdisplay 716. By way of example,display 716 may incorporate liquid crystal display (LCD), light emitting diode (LED), Interferometric modulator display (IMOD), or any other suitable display technology. Audio signals may be transmitted and received by means of anantenna 718 that may be connected through aradio interface 720 or audio input interface such as microphone 724 to codec 722 configured to process signals under control ofcontroller 704. Additionally, multipoint sensing devices may be poweredpower source 732. - Mobile device may also include one or more user input devices 734 (other than input structure 714) that are operatively coupled to the
controller 704. Generally, input devices 734 are configured to transfer data, commands and responses from the outside world into multipoint sensing devices. By way of example, mobile device may include a keyboard or mouse. Input devices 734 may also include one or more hard buttons. -
Display device 716 is generally configured to display a graphical user interface (GUI) that provides an easy to use visual interface between a user of the computing platform 702 and the operating system or application(s) running on the mobile device. Generally, the GUI presents programs, files and operational options with graphical images. During operation, the user may select and activate various graphical images displayed on thedisplay 716 in order to initiate functions and tasks associated therewith. - Herein, reference to a computer-readable storage medium encompasses one or more non-transitory, tangible computer-readable storage media possessing structure. As an example and not by way of limitation, a computer-readable storage medium may include a semiconductor-based or other integrated circuit (IC) (such, as for example, a field-programmable gate array (FPGA) or an application-specific IC (ASIC)), a hard disk, an HDD, a hybrid hard drive (HHD), an optical disc, an optical disc drive (ODD), a magneto-optical disc, a magneto-optical drive, a floppy disk, a floppy disk drive (FDD), magnetic tape, a holographic storage medium, a solid-state drive (SSD), a RAM-drive, a SECURE DIGITAL card, a SECURE DIGITAL drive, or another suitable computer-readable storage medium or a combination of two or more of these, where appropriate. Herein, reference to a computer-readable storage medium excludes any medium that is not eligible for patent protection under 35 U.S.C. §101. Herein, reference to a computer-readable storage medium excludes transitory forms of signal transmission (such as a propagating electrical or electromagnetic signal per se) to the extent that they are not eligible for patent protection under 35 U.S.C. §101.
- This disclosure contemplates one or more computer-readable storage media implementing any suitable storage. In particular embodiments, a computer-readable storage medium implements one or more portions of processor 602 (such as, for example, one or more internal registers or caches), one or more portions of
memory 604, one or more portions ofstorage 606, or a combination of these, where appropriate. In particular embodiments, a computer-readable storage medium implements RAM or ROM. In particular embodiments, a computer-readable storage medium implements volatile or persistent memory. In particular embodiments, one or more computer-readable storage media embody software. Herein, reference to software may encompass one or more applications, bytecode, one or more computer programs, one or more executables, one or more instructions, logic, machine code, one or more scripts, or source code, and vice versa, where appropriate. In particular embodiments, software includes one or more application programming interfaces (APIs). This disclosure contemplates any suitable software written or otherwise expressed in any suitable programming language or combination of programming languages. In particular embodiments, software is expressed as source code or object code. In particular embodiments, software is expressed in a higher-level programming language, such as, for example, C, Perl, or a suitable extension thereof. In particular embodiments, software is expressed in a lower-level programming language, such as assembly language (or machine code). In particular embodiments, software is expressed in JAVA. In particular embodiments, software is expressed in Hyper Text Markup Language (HTML), Extensible Markup Language (XML), or other suitable markup language. - The present disclosure encompasses all changes, substitutions, variations, alterations, and modifications to the example embodiments herein that a person having ordinary skill in the art would comprehend. Similarly, where appropriate, the appended claims encompass all changes, substitutions, variations, alterations, and modifications to the example embodiments herein that a person having ordinary skill in the art would comprehend.
- The foregoing description of the embodiments of the invention has been presented for the purpose of illustration; it is not intended to be exhaustive or to limit the invention to the precise forms disclosed. Persons skilled in the relevant art can appreciate that many modifications and variations are possible in light of the above disclosure. For example, although the foregoing embodiments have been described in the context of a social network system, it will apparent to one of ordinary skill in the art that the invention may be used with any electronic social network service and, even if it is not provided through a website. Any computer-based system that provides social networking functionality can be used in accordance with the present invention even if it relies, for example, on e-mail, instant messaging or other form of peer-to-peer communications, and any other technique for communicating between users. The invention is thus not limited to any particular type of communication system, network, protocol, format or application.
- Some portions of this description describe the embodiments of the invention in terms of algorithms and symbolic representations of operations on information. These algorithmic descriptions and representations are commonly used by those skilled in the data processing arts to convey the substance of their work effectively to others skilled in the art. These operations, while described functionally, computationally, or logically, are understood to be implemented by computer programs or equivalent electrical circuits, microcode, or the like. Furthermore, it has also proven convenient at times, to refer to these arrangements of operations as modules, without loss of generality. The described operations and their associated modules may be embodied in software, firmware, hardware, or any combinations thereof
- Any of the steps, operations, or processes described herein may be performed or implemented with one or more hardware or software modules, alone or in combination with other devices. In one embodiment, a software module is implemented with a computer program product comprising a computer-readable medium containing computer program code, which can be executed by a computer processor for performing any or all of the steps, operations, or processes described.
- Embodiments of the invention may also relate to an apparatus for performing the operations herein. This apparatus may be specially constructed for the required purposes, and/or it may comprise a general-purpose computing device selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a tangible computer readable storage medium or any type of media suitable for storing electronic instructions, and coupled to a computer system bus. Furthermore, any computing systems referred to in the specification may include a single processor or may be architectures employing multiple processor designs for increased computing capability.
- While the foregoing processes and mechanisms can be implemented by a wide variety of physical systems and in a wide variety of network and computing environments, the server or computing systems described below provide example computing system architectures for didactic, rather than limiting, purposes.
- The present invention has been explained with reference to specific embodiments. For example, while embodiments of the present invention have been described as operating in connection with a social network system, the present invention can be used in connection with any communications facility that allows for communication of messages between users, such as an email hosting site. Other embodiments will be evident to those of ordinary skill in the art. It is therefore not intended that the present invention be limited, except as indicated by the appended claims.
- Finally, the language used in the specification has been principally selected for readability and instructional purposes, and it may not have been selected to delineate or circumscribe the inventive subject matter. It is therefore intended that the scope of the invention be limited not by this detailed description, but rather by any claims that issue on an application based hereon. Accordingly, the disclosure of the embodiments of the invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims.
Claims (20)
1. A method comprising, by one or more computing systems:
accessing a plurality of interaction events between a user and a plurality of contacts;
aggregating, for at least one of the plurality of the contacts, interaction events between the user and the contact, wherein at least one interaction event comprises a call log entry and at least another interaction event comprises one of an email message, a wall post, a short message service (SMS) message, and a chat message;
displaying a selectable list of contacts to the user; and
responsive to user input selecting a contact from the list of contacts, displaying a user interface including the aggregated interaction events between the user and the selected contact.
2. The method of claim 1 , wherein the plurality of interactions comprises voice-over-IP calls.
3. The method of claim 1 , wherein the plurality of interactions comprises video chats.
4. The method of claim 1 , wherein the plurality of interactions comprises voicemails.
5. The method of claim 4 , wherein the voicemails are transcribed to text.
6. The method of claim 1 , wherein a subset of the plurality of interactions occurs on a social network.
7. The method of claim 1 , wherein the selectable list of contacts is ordered alphabetically.
8. The method of claim 1 , wherein the selectable list of contacts is ordered chronologically.
9. The method of claim 1 , wherein the selectable list of contacts is ordered based on importance.
10. The method of claim 1 , wherein the selectable list of contact includes, for each contact, at least a portion of the user's most recent interaction with the contact.
11. The method of claim 1 , wherein the selectable list of contacts is segregated by contacts who are also connected with the user on a social network, and contacts who are not.
12. A non-transitory computer-readable media containing instructions operable, when executed by one or more processors, to:
access a plurality of interaction events between a user and a plurality of contacts;
aggregate, for at least one of the plurality of the contacts, interaction events between the user and the contact, wherein at least one interaction event comprises a call log entry and at least another interaction event comprises one of an email message, a wall post, a short message service (SMS) message, and a chat message;
display a selectable list of contacts to the user; and
responsive to a user input selecting a contact from the list of contacts, display a user interface including the aggregated interaction events between the user and the selected contact.
13. The media of claim 12 , wherein the plurality of interactions comprises voice-over-IP calls.
14. The media of claim 12 , wherein the plurality of interactions comprises video chats.
15. The media of claim 12 , wherein the plurality of interactions comprises voicemails.
16. The media of claim 12 , wherein a subset of the plurality of interactions occurs on a social network.
17. The media of claim 12 , wherein the selectable list of contacts is ordered chronologically.
18. The media of claim 12 , wherein the selectable list of contacts is ordered based on importance.
19. The media of claim 12 , wherein the selectable list of contact includes, for each contact, at least a portion of the user's most recent interaction with the contact.
20. The media of claim 12 , wherein the selectable list of contacts is segregated by contacts who are also connected with the user on a social network, and contacts who are not.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/214,924 US20130055099A1 (en) | 2011-08-22 | 2011-08-22 | Unified Messaging System with Integration of Call Log Data |
PCT/US2012/049126 WO2013028325A2 (en) | 2011-08-22 | 2012-08-01 | Unified messaging system with integration of call log data |
US14/146,551 US10805257B2 (en) | 2011-08-22 | 2014-01-02 | Unified messaging system with integration of call log data |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/214,924 US20130055099A1 (en) | 2011-08-22 | 2011-08-22 | Unified Messaging System with Integration of Call Log Data |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/146,551 Continuation US10805257B2 (en) | 2011-08-22 | 2014-01-02 | Unified messaging system with integration of call log data |
Publications (1)
Publication Number | Publication Date |
---|---|
US20130055099A1 true US20130055099A1 (en) | 2013-02-28 |
Family
ID=47745487
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US13/214,924 Abandoned US20130055099A1 (en) | 2011-08-22 | 2011-08-22 | Unified Messaging System with Integration of Call Log Data |
US14/146,551 Active 2032-10-16 US10805257B2 (en) | 2011-08-22 | 2014-01-02 | Unified messaging system with integration of call log data |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US14/146,551 Active 2032-10-16 US10805257B2 (en) | 2011-08-22 | 2014-01-02 | Unified messaging system with integration of call log data |
Country Status (2)
Country | Link |
---|---|
US (2) | US20130055099A1 (en) |
WO (1) | WO2013028325A2 (en) |
Cited By (203)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120060103A1 (en) * | 2010-08-31 | 2012-03-08 | Kenshi Arasaki | Systems and methods to support real-time integrated mobile communication for social applications |
US20130072262A1 (en) * | 2011-09-16 | 2013-03-21 | Lg Electronics Inc. | Mobile terminal and method for controlling the same |
US20130157627A1 (en) * | 2011-12-19 | 2013-06-20 | Mohit Talwar | Generating Conversation Threads for a Unified Messaging System |
US20130262578A1 (en) * | 2012-04-02 | 2013-10-03 | Samsung Electronics Co. Ltd. | Content sharing method and mobile terminal using the method |
US20130332538A1 (en) * | 2012-06-07 | 2013-12-12 | Apple Inc. | Data synchronization using mail and push notification services |
US20130332162A1 (en) * | 2012-06-08 | 2013-12-12 | Apple Inc. | Systems and Methods for Recognizing Textual Identifiers Within a Plurality of Words |
US20140143202A1 (en) * | 2012-11-21 | 2014-05-22 | Bank Of America Corporation | Regulated Texting Solution for Mobile Devices |
US20140282085A1 (en) * | 2013-03-18 | 2014-09-18 | National Chiao Tung University | Method for displaying a graphic interface with message/notification, apparatus, and non-transitory computer-readable medium |
US20150006510A1 (en) * | 2013-06-28 | 2015-01-01 | Vonage Network Llc | Method and apparatus for providing conversation history generated from multiple communication channels |
WO2015009190A1 (en) * | 2013-07-19 | 2015-01-22 | Limited Liability Company Mail.Ru Games | Systems and methods for providing extended in-game chat |
US8949283B1 (en) | 2013-12-23 | 2015-02-03 | Google Inc. | Systems and methods for clustering electronic messages |
US9015192B1 (en) | 2013-12-30 | 2015-04-21 | Google Inc. | Systems and methods for improved processing of personalized message queries |
US20150186381A1 (en) * | 2013-12-31 | 2015-07-02 | Abbyy Development Llc | Method and System for Smart Ranking of Search Results |
US9124546B2 (en) * | 2013-12-31 | 2015-09-01 | Google Inc. | Systems and methods for throttling display of electronic messages |
US9152307B2 (en) | 2013-12-31 | 2015-10-06 | Google Inc. | Systems and methods for simultaneously displaying clustered, in-line electronic messages in one display |
US20150312190A1 (en) * | 2014-04-24 | 2015-10-29 | Aaron Rankin | System and methods for integrating social network information |
CN105100511A (en) * | 2014-05-23 | 2015-11-25 | 三星电子株式会社 | System and method of providing voice-message call service |
US9262612B2 (en) | 2011-03-21 | 2016-02-16 | Apple Inc. | Device access using voice authentication |
US9306893B2 (en) | 2013-12-31 | 2016-04-05 | Google Inc. | Systems and methods for progressive message flow |
US9318108B2 (en) | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
US9330720B2 (en) | 2008-01-03 | 2016-05-03 | Apple Inc. | Methods and apparatus for altering audio output signals |
US9338493B2 (en) | 2014-06-30 | 2016-05-10 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US9483461B2 (en) | 2012-03-06 | 2016-11-01 | Apple Inc. | Handling speech synthesis of content for multiple languages |
US20160328142A1 (en) * | 2013-07-22 | 2016-11-10 | Yongjae Lee | User interface for merger and display of multiple content timelines and method therefor |
US9495129B2 (en) | 2012-06-29 | 2016-11-15 | Apple Inc. | Device, method, and user interface for voice-activated navigation and browsing of a document |
US9535906B2 (en) | 2008-07-31 | 2017-01-03 | Apple Inc. | Mobile device having human language translation capability with positional feedback |
US9542668B2 (en) | 2013-12-30 | 2017-01-10 | Google Inc. | Systems and methods for clustering electronic messages |
US9582608B2 (en) | 2013-06-07 | 2017-02-28 | Apple Inc. | Unified ranking with entropy-weighted information for phrase-based semantic auto-completion |
US9620104B2 (en) | 2013-06-07 | 2017-04-11 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
US9626955B2 (en) | 2008-04-05 | 2017-04-18 | Apple Inc. | Intelligent text-to-speech conversion |
US9633660B2 (en) | 2010-02-25 | 2017-04-25 | Apple Inc. | User profiling for voice input processing |
US9633674B2 (en) | 2013-06-07 | 2017-04-25 | Apple Inc. | System and method for detecting errors in interactions with a voice-based digital assistant |
US9646614B2 (en) | 2000-03-16 | 2017-05-09 | Apple Inc. | Fast, language-independent method for user authentication by voice |
US9646609B2 (en) | 2014-09-30 | 2017-05-09 | Apple Inc. | Caching apparatus for serving phonetic pronunciations |
US9668121B2 (en) | 2014-09-30 | 2017-05-30 | Apple Inc. | Social reminders |
US9697820B2 (en) | 2015-09-24 | 2017-07-04 | Apple Inc. | Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks |
US9715875B2 (en) | 2014-05-30 | 2017-07-25 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US9721566B2 (en) | 2015-03-08 | 2017-08-01 | Apple Inc. | Competing devices responding to voice triggers |
US9756549B2 (en) | 2014-03-14 | 2017-09-05 | goTenna Inc. | System and method for digital communication between computing devices |
US9760559B2 (en) | 2014-05-30 | 2017-09-12 | Apple Inc. | Predictive text input |
US9767189B2 (en) | 2013-12-30 | 2017-09-19 | Google Inc. | Custom electronic message presentation based on electronic message category |
US9785630B2 (en) | 2014-05-30 | 2017-10-10 | Apple Inc. | Text prediction using combined word N-gram and unigram language models |
US9798393B2 (en) | 2011-08-29 | 2017-10-24 | Apple Inc. | Text correction processing |
US9818400B2 (en) | 2014-09-11 | 2017-11-14 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
EP3253019A1 (en) * | 2016-06-02 | 2017-12-06 | Deutsche Telekom AG | Devices and method for communicating via a communication network |
US9842101B2 (en) | 2014-05-30 | 2017-12-12 | Apple Inc. | Predictive conversion of language input |
US9842105B2 (en) | 2015-04-16 | 2017-12-12 | Apple Inc. | Parsimonious continuous-space phrase representations for natural language processing |
US9858925B2 (en) | 2009-06-05 | 2018-01-02 | Apple Inc. | Using context information to facilitate processing of commands in a virtual assistant |
US9865280B2 (en) | 2015-03-06 | 2018-01-09 | Apple Inc. | Structured dictation using intelligent automated assistants |
US9886953B2 (en) | 2015-03-08 | 2018-02-06 | Apple Inc. | Virtual assistant activation |
US9886432B2 (en) | 2014-09-30 | 2018-02-06 | Apple Inc. | Parsimonious handling of word inflection via categorical stem + suffix N-gram language models |
US9899019B2 (en) | 2015-03-18 | 2018-02-20 | Apple Inc. | Systems and methods for structured stem and suffix language models |
US20180063070A1 (en) * | 2016-08-30 | 2018-03-01 | Ncr Corporation | Messaging integration |
US9934775B2 (en) | 2016-05-26 | 2018-04-03 | Apple Inc. | Unit-selection text-to-speech synthesis based on predicted concatenation parameters |
US9953088B2 (en) | 2012-05-14 | 2018-04-24 | Apple Inc. | Crowd sourcing information to fulfill user requests |
US9966065B2 (en) | 2014-05-30 | 2018-05-08 | Apple Inc. | Multi-command single utterance input method |
US9966068B2 (en) | 2013-06-08 | 2018-05-08 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
US9972304B2 (en) | 2016-06-03 | 2018-05-15 | Apple Inc. | Privacy preserving distributed evaluation framework for embedded personalized systems |
US9971774B2 (en) | 2012-09-19 | 2018-05-15 | Apple Inc. | Voice-based media searching |
US10033679B2 (en) | 2013-12-31 | 2018-07-24 | Google Llc | Systems and methods for displaying unseen labels in a clustering in-box environment |
US10043516B2 (en) | 2016-09-23 | 2018-08-07 | Apple Inc. | Intelligent automated assistant |
US10049668B2 (en) | 2015-12-02 | 2018-08-14 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
US10049663B2 (en) | 2016-06-08 | 2018-08-14 | Apple, Inc. | Intelligent automated assistant for media exploration |
US10057736B2 (en) | 2011-06-03 | 2018-08-21 | Apple Inc. | Active transport based notifications |
US10067938B2 (en) | 2016-06-10 | 2018-09-04 | Apple Inc. | Multilingual word prediction |
US10074360B2 (en) | 2014-09-30 | 2018-09-11 | Apple Inc. | Providing an indication of the suitability of speech recognition |
US10078631B2 (en) | 2014-05-30 | 2018-09-18 | Apple Inc. | Entropy-guided text prediction using combined word and character n-gram language models |
US10079014B2 (en) | 2012-06-08 | 2018-09-18 | Apple Inc. | Name recognition system |
US10083688B2 (en) | 2015-05-27 | 2018-09-25 | Apple Inc. | Device voice control for selecting a displayed affordance |
US10083690B2 (en) | 2014-05-30 | 2018-09-25 | Apple Inc. | Better resolution when referencing to concepts |
US10089072B2 (en) | 2016-06-11 | 2018-10-02 | Apple Inc. | Intelligent device arbitration and control |
US10101822B2 (en) | 2015-06-05 | 2018-10-16 | Apple Inc. | Language input correction |
US10127911B2 (en) | 2014-09-30 | 2018-11-13 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
US10127220B2 (en) | 2015-06-04 | 2018-11-13 | Apple Inc. | Language identification from short strings |
US10169329B2 (en) | 2014-05-30 | 2019-01-01 | Apple Inc. | Exemplar-based natural language processing |
US10176167B2 (en) | 2013-06-09 | 2019-01-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
US10185542B2 (en) | 2013-06-09 | 2019-01-22 | Apple Inc. | Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant |
US10186254B2 (en) | 2015-06-07 | 2019-01-22 | Apple Inc. | Context-based endpoint detection |
US10192552B2 (en) | 2016-06-10 | 2019-01-29 | Apple Inc. | Digital assistant providing whispered speech |
US10223066B2 (en) | 2015-12-23 | 2019-03-05 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US10241644B2 (en) | 2011-06-03 | 2019-03-26 | Apple Inc. | Actionable reminder entries |
US10241752B2 (en) | 2011-09-30 | 2019-03-26 | Apple Inc. | Interface for a virtual digital assistant |
US10249300B2 (en) | 2016-06-06 | 2019-04-02 | Apple Inc. | Intelligent list reading |
US10255907B2 (en) | 2015-06-07 | 2019-04-09 | Apple Inc. | Automatic accent detection using acoustic models |
US10269345B2 (en) | 2016-06-11 | 2019-04-23 | Apple Inc. | Intelligent task discovery |
US10276170B2 (en) | 2010-01-18 | 2019-04-30 | Apple Inc. | Intelligent automated assistant |
US10283110B2 (en) | 2009-07-02 | 2019-05-07 | Apple Inc. | Methods and apparatuses for automatic speech recognition |
US10297253B2 (en) | 2016-06-11 | 2019-05-21 | Apple Inc. | Application integration with a digital assistant |
US10303715B2 (en) | 2017-05-16 | 2019-05-28 | Apple Inc. | Intelligent automated assistant for media exploration |
US10313279B2 (en) * | 2011-12-12 | 2019-06-04 | Rcs Ip, Llc | Live video-chat function within text messaging environment |
US10311144B2 (en) | 2017-05-16 | 2019-06-04 | Apple Inc. | Emoji word sense disambiguation |
US10318871B2 (en) | 2005-09-08 | 2019-06-11 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
US10332518B2 (en) | 2017-05-09 | 2019-06-25 | Apple Inc. | User interface for correcting recognition errors |
RU2692763C2 (en) * | 2014-05-23 | 2019-06-27 | Самсунг Электроникс Ко., Лтд. | System and method of providing voice call service with messages |
CN109962840A (en) * | 2017-12-26 | 2019-07-02 | 福建兑信科技有限公司 | A kind of personalization group chat information reading system and method |
US10356243B2 (en) | 2015-06-05 | 2019-07-16 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
US10354011B2 (en) | 2016-06-09 | 2019-07-16 | Apple Inc. | Intelligent automated assistant in a home environment |
US10366158B2 (en) | 2015-09-29 | 2019-07-30 | Apple Inc. | Efficient word encoding for recurrent neural network language models |
US10395654B2 (en) | 2017-05-11 | 2019-08-27 | Apple Inc. | Text normalization based on a data-driven learning network |
US10403278B2 (en) | 2017-05-16 | 2019-09-03 | Apple Inc. | Methods and systems for phonetic matching in digital assistant services |
US10403283B1 (en) | 2018-06-01 | 2019-09-03 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
US10410637B2 (en) | 2017-05-12 | 2019-09-10 | Apple Inc. | User-specific acoustic models |
US10417266B2 (en) | 2017-05-09 | 2019-09-17 | Apple Inc. | Context-aware ranking of intelligent response suggestions |
US10446143B2 (en) | 2016-03-14 | 2019-10-15 | Apple Inc. | Identification of voice inputs providing credentials |
US10445429B2 (en) | 2017-09-21 | 2019-10-15 | Apple Inc. | Natural language understanding using vocabularies with compressed serialized tries |
US10446141B2 (en) | 2014-08-28 | 2019-10-15 | Apple Inc. | Automatic speech recognition based on user feedback |
US10474753B2 (en) | 2016-09-07 | 2019-11-12 | Apple Inc. | Language identification using recurrent neural networks |
US10482874B2 (en) | 2017-05-15 | 2019-11-19 | Apple Inc. | Hierarchical belief states for digital assistants |
US10490187B2 (en) | 2016-06-10 | 2019-11-26 | Apple Inc. | Digital assistant providing automated status report |
US10496705B1 (en) | 2018-06-03 | 2019-12-03 | Apple Inc. | Accelerated task performance |
US10496753B2 (en) | 2010-01-18 | 2019-12-03 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
US10509862B2 (en) | 2016-06-10 | 2019-12-17 | Apple Inc. | Dynamic phrase expansion of language input |
US10521466B2 (en) | 2016-06-11 | 2019-12-31 | Apple Inc. | Data driven natural language event detection and classification |
US10552013B2 (en) | 2014-12-02 | 2020-02-04 | Apple Inc. | Data detection |
US10553209B2 (en) | 2010-01-18 | 2020-02-04 | Apple Inc. | Systems and methods for hands-free notification summaries |
US10567477B2 (en) | 2015-03-08 | 2020-02-18 | Apple Inc. | Virtual assistant continuity |
US10568032B2 (en) | 2007-04-03 | 2020-02-18 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
US10592604B2 (en) | 2018-03-12 | 2020-03-17 | Apple Inc. | Inverse text normalization for automatic speech recognition |
US10593346B2 (en) | 2016-12-22 | 2020-03-17 | Apple Inc. | Rank-reduced token representation for automatic speech recognition |
US10636424B2 (en) | 2017-11-30 | 2020-04-28 | Apple Inc. | Multi-turn canned dialog |
US10643611B2 (en) | 2008-10-02 | 2020-05-05 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US10659851B2 (en) | 2014-06-30 | 2020-05-19 | Apple Inc. | Real-time digital assistant knowledge updates |
US10657328B2 (en) | 2017-06-02 | 2020-05-19 | Apple Inc. | Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling |
US10671428B2 (en) | 2015-09-08 | 2020-06-02 | Apple Inc. | Distributed personal assistant |
US10679605B2 (en) | 2010-01-18 | 2020-06-09 | Apple Inc. | Hands-free list-reading by intelligent automated assistant |
US10684703B2 (en) | 2018-06-01 | 2020-06-16 | Apple Inc. | Attention aware virtual assistant dismissal |
US10691473B2 (en) | 2015-11-06 | 2020-06-23 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US10699717B2 (en) | 2014-05-30 | 2020-06-30 | Apple Inc. | Intelligent assistant for home automation |
US10705794B2 (en) | 2010-01-18 | 2020-07-07 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
US10706373B2 (en) | 2011-06-03 | 2020-07-07 | Apple Inc. | Performing actions associated with task items that represent tasks to perform |
US10714117B2 (en) | 2013-02-07 | 2020-07-14 | Apple Inc. | Voice trigger for a digital assistant |
US10726832B2 (en) | 2017-05-11 | 2020-07-28 | Apple Inc. | Maintaining privacy of personal information |
US10733375B2 (en) | 2018-01-31 | 2020-08-04 | Apple Inc. | Knowledge-based framework for improving natural language understanding |
US10733993B2 (en) | 2016-06-10 | 2020-08-04 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
US10733982B2 (en) | 2018-01-08 | 2020-08-04 | Apple Inc. | Multi-directional dialog |
US10748546B2 (en) | 2017-05-16 | 2020-08-18 | Apple Inc. | Digital assistant services based on device capabilities |
US10747498B2 (en) | 2015-09-08 | 2020-08-18 | Apple Inc. | Zero latency digital assistant |
US10755051B2 (en) | 2017-09-29 | 2020-08-25 | Apple Inc. | Rule-based natural language processing |
US10755703B2 (en) | 2017-05-11 | 2020-08-25 | Apple Inc. | Offline personal assistant |
US10789041B2 (en) | 2014-09-12 | 2020-09-29 | Apple Inc. | Dynamic thresholds for always listening speech trigger |
US10791176B2 (en) | 2017-05-12 | 2020-09-29 | Apple Inc. | Synchronization and task delegation of a digital assistant |
US10789945B2 (en) | 2017-05-12 | 2020-09-29 | Apple Inc. | Low-latency intelligent automated assistant |
US10789959B2 (en) | 2018-03-02 | 2020-09-29 | Apple Inc. | Training speaker recognition models for digital assistants |
US10812438B1 (en) | 2015-05-26 | 2020-10-20 | Facebook, Inc. | Integrated telephone applications on online social networks |
US10810274B2 (en) | 2017-05-15 | 2020-10-20 | Apple Inc. | Optimizing dialogue policy decisions for digital assistants using implicit feedback |
US10818288B2 (en) | 2018-03-26 | 2020-10-27 | Apple Inc. | Natural assistant interaction |
US10839159B2 (en) | 2018-09-28 | 2020-11-17 | Apple Inc. | Named entity normalization in a spoken dialog system |
US10892996B2 (en) | 2018-06-01 | 2021-01-12 | Apple Inc. | Variable latency device coordination |
US10909331B2 (en) | 2018-03-30 | 2021-02-02 | Apple Inc. | Implicit identification of translation payload with neural machine translation |
US10928918B2 (en) | 2018-05-07 | 2021-02-23 | Apple Inc. | Raise to speak |
EP3639151A4 (en) * | 2017-06-14 | 2021-03-10 | Medallia, Inc. | Method and system to converse across fragmented messaging services based on discussion topics |
US10984780B2 (en) | 2018-05-21 | 2021-04-20 | Apple Inc. | Global semantic word embeddings using bi-directional recurrent neural networks |
US10999233B2 (en) | 2008-12-23 | 2021-05-04 | Rcs Ip, Llc | Scalable message fidelity |
US11010127B2 (en) | 2015-06-29 | 2021-05-18 | Apple Inc. | Virtual assistant for media playback |
US11010561B2 (en) | 2018-09-27 | 2021-05-18 | Apple Inc. | Sentiment prediction from textual data |
US11010550B2 (en) | 2015-09-29 | 2021-05-18 | Apple Inc. | Unified language modeling framework for word prediction, auto-completion and auto-correction |
US11023513B2 (en) | 2007-12-20 | 2021-06-01 | Apple Inc. | Method and apparatus for searching using an active ontology |
US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
US11069336B2 (en) | 2012-03-02 | 2021-07-20 | Apple Inc. | Systems and methods for name pronunciation |
US11070949B2 (en) | 2015-05-27 | 2021-07-20 | Apple Inc. | Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display |
US11140099B2 (en) | 2019-05-21 | 2021-10-05 | Apple Inc. | Providing message response suggestions |
US11145294B2 (en) | 2018-05-07 | 2021-10-12 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US11170166B2 (en) | 2018-09-28 | 2021-11-09 | Apple Inc. | Neural typographical error modeling via generative adversarial networks |
US11204787B2 (en) | 2017-01-09 | 2021-12-21 | Apple Inc. | Application integration with a digital assistant |
US11217251B2 (en) | 2019-05-06 | 2022-01-04 | Apple Inc. | Spoken notifications |
US11227589B2 (en) | 2016-06-06 | 2022-01-18 | Apple Inc. | Intelligent list reading |
US11231904B2 (en) | 2015-03-06 | 2022-01-25 | Apple Inc. | Reducing response latency of intelligent automated assistants |
US11237797B2 (en) | 2019-05-31 | 2022-02-01 | Apple Inc. | User activity shortcut suggestions |
US11269678B2 (en) | 2012-05-15 | 2022-03-08 | Apple Inc. | Systems and methods for integrating third party services with a digital assistant |
US11281993B2 (en) | 2016-12-05 | 2022-03-22 | Apple Inc. | Model and ensemble compression for metric learning |
US11289073B2 (en) | 2019-05-31 | 2022-03-29 | Apple Inc. | Device text to speech |
US11301477B2 (en) | 2017-05-12 | 2022-04-12 | Apple Inc. | Feedback analysis of a digital assistant |
US11307752B2 (en) | 2019-05-06 | 2022-04-19 | Apple Inc. | User configurable task triggers |
US11314370B2 (en) | 2013-12-06 | 2022-04-26 | Apple Inc. | Method for extracting salient dialog usage from live data |
US11348573B2 (en) | 2019-03-18 | 2022-05-31 | Apple Inc. | Multimodality in digital assistant systems |
EP4009610A1 (en) * | 2016-03-28 | 2022-06-08 | Microsoft Technology Licensing, LLC | Multi-modal conversational intercom |
US11360641B2 (en) | 2019-06-01 | 2022-06-14 | Apple Inc. | Increasing the relevance of new available information |
US11386266B2 (en) | 2018-06-01 | 2022-07-12 | Apple Inc. | Text correction |
US11388291B2 (en) | 2013-03-14 | 2022-07-12 | Apple Inc. | System and method for processing voicemail |
US11423908B2 (en) | 2019-05-06 | 2022-08-23 | Apple Inc. | Interpreting spoken requests |
US11462215B2 (en) | 2018-09-28 | 2022-10-04 | Apple Inc. | Multi-modal inputs for voice commands |
US11467802B2 (en) | 2017-05-11 | 2022-10-11 | Apple Inc. | Maintaining privacy of personal information |
US11468282B2 (en) | 2015-05-15 | 2022-10-11 | Apple Inc. | Virtual assistant in a communication session |
US11475884B2 (en) | 2019-05-06 | 2022-10-18 | Apple Inc. | Reducing digital assistant latency when a language is incorrectly determined |
US11475898B2 (en) | 2018-10-26 | 2022-10-18 | Apple Inc. | Low-latency multi-speaker speech recognition |
US11487512B2 (en) | 2016-03-29 | 2022-11-01 | Microsoft Technology Licensing, Llc | Generating a services application |
US11488406B2 (en) | 2019-09-25 | 2022-11-01 | Apple Inc. | Text detection using global geometry estimators |
US11496600B2 (en) | 2019-05-31 | 2022-11-08 | Apple Inc. | Remote execution of machine-learned models |
US11495218B2 (en) | 2018-06-01 | 2022-11-08 | Apple Inc. | Virtual assistant operation in multi-device environments |
US11532306B2 (en) | 2017-05-16 | 2022-12-20 | Apple Inc. | Detecting a trigger of a digital assistant |
US11587559B2 (en) | 2015-09-30 | 2023-02-21 | Apple Inc. | Intelligent device identification |
US11638059B2 (en) | 2019-01-04 | 2023-04-25 | Apple Inc. | Content playback on multiple devices |
US11657813B2 (en) | 2019-05-31 | 2023-05-23 | Apple Inc. | Voice identification in digital assistant systems |
US11696060B2 (en) | 2020-07-21 | 2023-07-04 | Apple Inc. | User identification using headphones |
US11755276B2 (en) | 2020-05-12 | 2023-09-12 | Apple Inc. | Reducing description length based on confidence |
US11765209B2 (en) | 2020-05-11 | 2023-09-19 | Apple Inc. | Digital assistant hardware abstraction |
US11790914B2 (en) | 2019-06-01 | 2023-10-17 | Apple Inc. | Methods and user interfaces for voice-based control of electronic devices |
US11798547B2 (en) | 2013-03-15 | 2023-10-24 | Apple Inc. | Voice activated device for use with a voice-based digital assistant |
US11809483B2 (en) | 2015-09-08 | 2023-11-07 | Apple Inc. | Intelligent automated assistant for media search and playback |
US11838734B2 (en) | 2020-07-20 | 2023-12-05 | Apple Inc. | Multi-device audio adjustment coordination |
US11853536B2 (en) | 2015-09-08 | 2023-12-26 | Apple Inc. | Intelligent automated assistant in a media environment |
US11886805B2 (en) | 2015-11-09 | 2024-01-30 | Apple Inc. | Unconventional virtual assistant interactions |
US11914848B2 (en) | 2020-05-11 | 2024-02-27 | Apple Inc. | Providing relevant data items based on context |
Families Citing this family (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9536221B2 (en) | 2008-06-19 | 2017-01-03 | Plentyoffish Media Ulc | System and method for adaptive matching of user profiles based on viewing and contact activity for social relationship services |
US9537706B2 (en) | 2012-08-20 | 2017-01-03 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US9679259B1 (en) | 2013-01-25 | 2017-06-13 | Plentyoffish Media Ulc | Systems and methods for training and employing a machine learning system in evaluating entity pairs |
US11568008B2 (en) | 2013-03-13 | 2023-01-31 | Plentyoffish Media Ulc | Apparatus, method and article to identify discrepancies between clients and in response prompt clients in a networked environment |
US9672289B1 (en) | 2013-07-23 | 2017-06-06 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US9870465B1 (en) | 2013-12-04 | 2018-01-16 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate automatic detection and removal of fraudulent user information in a network environment |
US10540607B1 (en) | 2013-12-10 | 2020-01-21 | Plentyoffish Media Ulc | Apparatus, method and article to effect electronic message reply rate matching in a network environment |
US10108968B1 (en) | 2014-03-05 | 2018-10-23 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate automatic detection and removal of fraudulent advertising accounts in a network environment |
CA2942059C (en) * | 2014-03-10 | 2023-08-29 | Zoosk, Inc. | System and method for displaying message or user lists |
US9888207B2 (en) | 2014-03-17 | 2018-02-06 | Microsoft Technology Licensing, Llc | Automatic camera selection |
US9749585B2 (en) | 2014-03-17 | 2017-08-29 | Microsoft Technology Licensing, Llc | Highlighting unread messages |
US10178346B2 (en) | 2014-03-17 | 2019-01-08 | Microsoft Technology Licensing, Llc | Highlighting unread messages |
US10284813B2 (en) | 2014-03-17 | 2019-05-07 | Microsoft Technology Licensing, Llc | Automatic camera selection |
US10387795B1 (en) | 2014-04-02 | 2019-08-20 | Plentyoffish Media Inc. | Systems and methods for training and employing a machine learning system in providing service level upgrade offers |
US9836533B1 (en) | 2014-04-07 | 2017-12-05 | Plentyoffish Media Ulc | Apparatus, method and article to effect user interest-based matching in a network environment |
US10187483B2 (en) * | 2014-08-12 | 2019-01-22 | Facebook, Inc. | Managing access to user information by applications operating in an online system environment |
US20160171505A1 (en) * | 2014-12-16 | 2016-06-16 | Verizon Patent And Licensing Inc. | Extract, transform, and load (etl) processing |
US9398159B1 (en) | 2015-01-09 | 2016-07-19 | International Business Machines Corporation | Gathering information for members of call |
DE102016112685B4 (en) | 2016-03-11 | 2020-10-29 | Unify Patente Gmbh & Co. Kg | Harmonize phone conversations using embedded devices and social media applications |
US11595327B2 (en) * | 2016-10-14 | 2023-02-28 | Salesforce, Inc. | Method, apparatus, and computer program product for associating an identifier with one or more message communications within a group-based communication system |
US20180152539A1 (en) | 2016-11-30 | 2018-05-31 | International Business Machines Corporation | Proactive communication channel controller in a collaborative environment |
WO2021034752A1 (en) * | 2019-08-16 | 2021-02-25 | Saint John Group Llc | Cross-platform message management system |
CN114764480A (en) * | 2021-01-04 | 2022-07-19 | 腾讯科技(深圳)有限公司 | Group type identification method and device, computer equipment and medium |
US11411930B1 (en) | 2021-10-13 | 2022-08-09 | Realified, Inc. | Communications relays |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20100166159A1 (en) * | 2008-02-08 | 2010-07-01 | Rebelvox Llc | Voice and text mail application for communication devices |
US7769144B2 (en) * | 2006-07-21 | 2010-08-03 | Google Inc. | Method and system for generating and presenting conversation threads having email, voicemail and chat messages |
US7797293B2 (en) * | 2004-06-24 | 2010-09-14 | Oracle America, Inc. | Adaptive contact list |
US20110137918A1 (en) * | 2009-12-09 | 2011-06-09 | At&T Intellectual Property I, L.P. | Methods and Systems for Customized Content Services with Unified Messaging Systems |
US20110302509A1 (en) * | 2007-10-24 | 2011-12-08 | Social Communications Company | Promoting communicant interactions in a network communications environment |
US20120022950A1 (en) * | 2010-07-26 | 2012-01-26 | At&T Intellectual Property I, L.P. | Systems and Methods for Targeted Advertising in Voicemail to Text Systems |
US20120226704A1 (en) * | 2011-03-02 | 2012-09-06 | International Business Machines Corporation | Systems and methods for presenting electronic contact lists |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8065383B2 (en) * | 2004-05-17 | 2011-11-22 | Simplefeed, Inc. | Customizable and measurable information feeds for personalized communication |
KR100613221B1 (en) * | 2004-08-04 | 2006-08-21 | 주식회사 케이티 | Massage integration management systems, the method for message verification in the same and the method providing service |
CA2632676C (en) * | 2005-12-09 | 2018-05-22 | Ebuddy Holding B.V. | Message history display system and method |
US20070174388A1 (en) * | 2006-01-20 | 2007-07-26 | Williams Michael G | Integrated voice mail and email system |
US8843560B2 (en) * | 2006-04-28 | 2014-09-23 | Yahoo! Inc. | Social networking for mobile devices |
US20080285588A1 (en) * | 2007-05-16 | 2008-11-20 | Unison Technologies Llc | Systems and methods for providing unified collaboration systems with combined communication log |
US9716764B2 (en) * | 2007-07-25 | 2017-07-25 | Yahoo! Inc. | Display of communication system usage statistics |
GB2459332A (en) * | 2008-04-24 | 2009-10-28 | Skype Ltd | Sorting a list of communication events received at a user terminal |
US8423088B2 (en) * | 2009-07-22 | 2013-04-16 | Microsoft Corporation | Aggregated, interactive communication timeline |
KR101708775B1 (en) * | 2010-02-11 | 2017-03-08 | 삼성전자주식회사 | Method and apparatus for providing information in mobile terminal |
US20120036200A1 (en) * | 2010-08-09 | 2012-02-09 | Bank Of America Corporation | Social media engagement system |
US8769418B2 (en) * | 2011-04-27 | 2014-07-01 | Borange, Inc. | Enhanced message handling |
US20120278329A1 (en) * | 2011-04-29 | 2012-11-01 | Google Inc. | Tracking feeds in a social network |
-
2011
- 2011-08-22 US US13/214,924 patent/US20130055099A1/en not_active Abandoned
-
2012
- 2012-08-01 WO PCT/US2012/049126 patent/WO2013028325A2/en active Application Filing
-
2014
- 2014-01-02 US US14/146,551 patent/US10805257B2/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7797293B2 (en) * | 2004-06-24 | 2010-09-14 | Oracle America, Inc. | Adaptive contact list |
US7769144B2 (en) * | 2006-07-21 | 2010-08-03 | Google Inc. | Method and system for generating and presenting conversation threads having email, voicemail and chat messages |
US20110302509A1 (en) * | 2007-10-24 | 2011-12-08 | Social Communications Company | Promoting communicant interactions in a network communications environment |
US20100166159A1 (en) * | 2008-02-08 | 2010-07-01 | Rebelvox Llc | Voice and text mail application for communication devices |
US20110137918A1 (en) * | 2009-12-09 | 2011-06-09 | At&T Intellectual Property I, L.P. | Methods and Systems for Customized Content Services with Unified Messaging Systems |
US20120022950A1 (en) * | 2010-07-26 | 2012-01-26 | At&T Intellectual Property I, L.P. | Systems and Methods for Targeted Advertising in Voicemail to Text Systems |
US20120226704A1 (en) * | 2011-03-02 | 2012-09-06 | International Business Machines Corporation | Systems and methods for presenting electronic contact lists |
Non-Patent Citations (1)
Title |
---|
Gabbatt et al., "Facebook mail: it might kill GMail, but "it's not email", 11/15/2010, http://www.guardian.co.uk/technology/2010/nov/15/facebook-mail-gmail-killer-email, pages 1-5 * |
Cited By (353)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9646614B2 (en) | 2000-03-16 | 2017-05-09 | Apple Inc. | Fast, language-independent method for user authentication by voice |
US10318871B2 (en) | 2005-09-08 | 2019-06-11 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
US11928604B2 (en) | 2005-09-08 | 2024-03-12 | Apple Inc. | Method and apparatus for building an intelligent automated assistant |
US11012942B2 (en) | 2007-04-03 | 2021-05-18 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
US10568032B2 (en) | 2007-04-03 | 2020-02-18 | Apple Inc. | Method and system for operating a multi-function portable electronic device using voice-activation |
US11671920B2 (en) | 2007-04-03 | 2023-06-06 | Apple Inc. | Method and system for operating a multifunction portable electronic device using voice-activation |
US11023513B2 (en) | 2007-12-20 | 2021-06-01 | Apple Inc. | Method and apparatus for searching using an active ontology |
US9330720B2 (en) | 2008-01-03 | 2016-05-03 | Apple Inc. | Methods and apparatus for altering audio output signals |
US10381016B2 (en) | 2008-01-03 | 2019-08-13 | Apple Inc. | Methods and apparatus for altering audio output signals |
US9865248B2 (en) | 2008-04-05 | 2018-01-09 | Apple Inc. | Intelligent text-to-speech conversion |
US9626955B2 (en) | 2008-04-05 | 2017-04-18 | Apple Inc. | Intelligent text-to-speech conversion |
US10108612B2 (en) | 2008-07-31 | 2018-10-23 | Apple Inc. | Mobile device having human language translation capability with positional feedback |
US9535906B2 (en) | 2008-07-31 | 2017-01-03 | Apple Inc. | Mobile device having human language translation capability with positional feedback |
US11900936B2 (en) | 2008-10-02 | 2024-02-13 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US11348582B2 (en) | 2008-10-02 | 2022-05-31 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US10643611B2 (en) | 2008-10-02 | 2020-05-05 | Apple Inc. | Electronic devices with voice command and contextual data processing capabilities |
US10999233B2 (en) | 2008-12-23 | 2021-05-04 | Rcs Ip, Llc | Scalable message fidelity |
US10475446B2 (en) | 2009-06-05 | 2019-11-12 | Apple Inc. | Using context information to facilitate processing of commands in a virtual assistant |
US9858925B2 (en) | 2009-06-05 | 2018-01-02 | Apple Inc. | Using context information to facilitate processing of commands in a virtual assistant |
US11080012B2 (en) | 2009-06-05 | 2021-08-03 | Apple Inc. | Interface for a virtual digital assistant |
US10795541B2 (en) | 2009-06-05 | 2020-10-06 | Apple Inc. | Intelligent organization of tasks items |
US10283110B2 (en) | 2009-07-02 | 2019-05-07 | Apple Inc. | Methods and apparatuses for automatic speech recognition |
US10276170B2 (en) | 2010-01-18 | 2019-04-30 | Apple Inc. | Intelligent automated assistant |
US11423886B2 (en) | 2010-01-18 | 2022-08-23 | Apple Inc. | Task flow identification based on user intent |
US9548050B2 (en) | 2010-01-18 | 2017-01-17 | Apple Inc. | Intelligent automated assistant |
US9318108B2 (en) | 2010-01-18 | 2016-04-19 | Apple Inc. | Intelligent automated assistant |
US10496753B2 (en) | 2010-01-18 | 2019-12-03 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
US10553209B2 (en) | 2010-01-18 | 2020-02-04 | Apple Inc. | Systems and methods for hands-free notification summaries |
US10741185B2 (en) | 2010-01-18 | 2020-08-11 | Apple Inc. | Intelligent automated assistant |
US10679605B2 (en) | 2010-01-18 | 2020-06-09 | Apple Inc. | Hands-free list-reading by intelligent automated assistant |
US10705794B2 (en) | 2010-01-18 | 2020-07-07 | Apple Inc. | Automatically adapting user interfaces for hands-free interaction |
US10706841B2 (en) | 2010-01-18 | 2020-07-07 | Apple Inc. | Task flow identification based on user intent |
US10692504B2 (en) | 2010-02-25 | 2020-06-23 | Apple Inc. | User profiling for voice input processing |
US9633660B2 (en) | 2010-02-25 | 2017-04-25 | Apple Inc. | User profiling for voice input processing |
US10049675B2 (en) | 2010-02-25 | 2018-08-14 | Apple Inc. | User profiling for voice input processing |
US8918725B2 (en) * | 2010-08-31 | 2014-12-23 | A Thinking Ape Technologies | Systems and methods to support real-time integrated mobile communication for social applications |
US20120060103A1 (en) * | 2010-08-31 | 2012-03-08 | Kenshi Arasaki | Systems and methods to support real-time integrated mobile communication for social applications |
US9262612B2 (en) | 2011-03-21 | 2016-02-16 | Apple Inc. | Device access using voice authentication |
US10102359B2 (en) | 2011-03-21 | 2018-10-16 | Apple Inc. | Device access using voice authentication |
US10417405B2 (en) | 2011-03-21 | 2019-09-17 | Apple Inc. | Device access using voice authentication |
US10706373B2 (en) | 2011-06-03 | 2020-07-07 | Apple Inc. | Performing actions associated with task items that represent tasks to perform |
US10241644B2 (en) | 2011-06-03 | 2019-03-26 | Apple Inc. | Actionable reminder entries |
US11350253B2 (en) | 2011-06-03 | 2022-05-31 | Apple Inc. | Active transport based notifications |
US11120372B2 (en) | 2011-06-03 | 2021-09-14 | Apple Inc. | Performing actions associated with task items that represent tasks to perform |
US10057736B2 (en) | 2011-06-03 | 2018-08-21 | Apple Inc. | Active transport based notifications |
US9798393B2 (en) | 2011-08-29 | 2017-10-24 | Apple Inc. | Text correction processing |
US20130072262A1 (en) * | 2011-09-16 | 2013-03-21 | Lg Electronics Inc. | Mobile terminal and method for controlling the same |
US9363359B2 (en) * | 2011-09-16 | 2016-06-07 | Lg Electronics Inc. | Mobile terminal and method for controlling the same |
US10241752B2 (en) | 2011-09-30 | 2019-03-26 | Apple Inc. | Interface for a virtual digital assistant |
US10313279B2 (en) * | 2011-12-12 | 2019-06-04 | Rcs Ip, Llc | Live video-chat function within text messaging environment |
US9113315B2 (en) * | 2011-12-19 | 2015-08-18 | Facebook, Inc. | Generating conversation threads for a unified messaging system |
US20130157627A1 (en) * | 2011-12-19 | 2013-06-20 | Mohit Talwar | Generating Conversation Threads for a Unified Messaging System |
US11069336B2 (en) | 2012-03-02 | 2021-07-20 | Apple Inc. | Systems and methods for name pronunciation |
US9483461B2 (en) | 2012-03-06 | 2016-11-01 | Apple Inc. | Handling speech synthesis of content for multiple languages |
US20130262578A1 (en) * | 2012-04-02 | 2013-10-03 | Samsung Electronics Co. Ltd. | Content sharing method and mobile terminal using the method |
US9900415B2 (en) * | 2012-04-02 | 2018-02-20 | Samsung Electronics Co., Ltd. | Content sharing method and mobile terminal using the method |
US9953088B2 (en) | 2012-05-14 | 2018-04-24 | Apple Inc. | Crowd sourcing information to fulfill user requests |
US11269678B2 (en) | 2012-05-15 | 2022-03-08 | Apple Inc. | Systems and methods for integrating third party services with a digital assistant |
US11321116B2 (en) | 2012-05-15 | 2022-05-03 | Apple Inc. | Systems and methods for integrating third party services with a digital assistant |
US20130332538A1 (en) * | 2012-06-07 | 2013-12-12 | Apple Inc. | Data synchronization using mail and push notification services |
US9071564B2 (en) * | 2012-06-07 | 2015-06-30 | Apple Inc. | Data synchronization using mail and push notification services |
US10019994B2 (en) * | 2012-06-08 | 2018-07-10 | Apple Inc. | Systems and methods for recognizing textual identifiers within a plurality of words |
US10079014B2 (en) | 2012-06-08 | 2018-09-18 | Apple Inc. | Name recognition system |
US20130332162A1 (en) * | 2012-06-08 | 2013-12-12 | Apple Inc. | Systems and Methods for Recognizing Textual Identifiers Within a Plurality of Words |
US9495129B2 (en) | 2012-06-29 | 2016-11-15 | Apple Inc. | Device, method, and user interface for voice-activated navigation and browsing of a document |
US9971774B2 (en) | 2012-09-19 | 2018-05-15 | Apple Inc. | Voice-based media searching |
US9442925B2 (en) * | 2012-11-21 | 2016-09-13 | Bank Of America Corporation | Regulated texting solution for mobile devices |
US20140143202A1 (en) * | 2012-11-21 | 2014-05-22 | Bank Of America Corporation | Regulated Texting Solution for Mobile Devices |
US11557310B2 (en) | 2013-02-07 | 2023-01-17 | Apple Inc. | Voice trigger for a digital assistant |
US11862186B2 (en) | 2013-02-07 | 2024-01-02 | Apple Inc. | Voice trigger for a digital assistant |
US10978090B2 (en) | 2013-02-07 | 2021-04-13 | Apple Inc. | Voice trigger for a digital assistant |
US11636869B2 (en) | 2013-02-07 | 2023-04-25 | Apple Inc. | Voice trigger for a digital assistant |
US10714117B2 (en) | 2013-02-07 | 2020-07-14 | Apple Inc. | Voice trigger for a digital assistant |
US11388291B2 (en) | 2013-03-14 | 2022-07-12 | Apple Inc. | System and method for processing voicemail |
US11798547B2 (en) | 2013-03-15 | 2023-10-24 | Apple Inc. | Voice activated device for use with a voice-based digital assistant |
US20140282085A1 (en) * | 2013-03-18 | 2014-09-18 | National Chiao Tung University | Method for displaying a graphic interface with message/notification, apparatus, and non-transitory computer-readable medium |
US9582608B2 (en) | 2013-06-07 | 2017-02-28 | Apple Inc. | Unified ranking with entropy-weighted information for phrase-based semantic auto-completion |
US9633674B2 (en) | 2013-06-07 | 2017-04-25 | Apple Inc. | System and method for detecting errors in interactions with a voice-based digital assistant |
US9966060B2 (en) | 2013-06-07 | 2018-05-08 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
US9620104B2 (en) | 2013-06-07 | 2017-04-11 | Apple Inc. | System and method for user-specified pronunciation of words for speech synthesis and recognition |
US10657961B2 (en) | 2013-06-08 | 2020-05-19 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
US9966068B2 (en) | 2013-06-08 | 2018-05-08 | Apple Inc. | Interpreting and acting upon commands that involve sharing information with remote devices |
US10185542B2 (en) | 2013-06-09 | 2019-01-22 | Apple Inc. | Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant |
US11048473B2 (en) | 2013-06-09 | 2021-06-29 | Apple Inc. | Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant |
US11727219B2 (en) | 2013-06-09 | 2023-08-15 | Apple Inc. | System and method for inferring user intent from speech inputs |
US10176167B2 (en) | 2013-06-09 | 2019-01-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
US10769385B2 (en) | 2013-06-09 | 2020-09-08 | Apple Inc. | System and method for inferring user intent from speech inputs |
US20150006510A1 (en) * | 2013-06-28 | 2015-01-01 | Vonage Network Llc | Method and apparatus for providing conversation history generated from multiple communication channels |
WO2015009190A1 (en) * | 2013-07-19 | 2015-01-22 | Limited Liability Company Mail.Ru Games | Systems and methods for providing extended in-game chat |
US20160328142A1 (en) * | 2013-07-22 | 2016-11-10 | Yongjae Lee | User interface for merger and display of multiple content timelines and method therefor |
US11314370B2 (en) | 2013-12-06 | 2022-04-26 | Apple Inc. | Method for extracting salient dialog usage from live data |
US8949283B1 (en) | 2013-12-23 | 2015-02-03 | Google Inc. | Systems and methods for clustering electronic messages |
US9654432B2 (en) | 2013-12-23 | 2017-05-16 | Google Inc. | Systems and methods for clustering electronic messages |
US9767189B2 (en) | 2013-12-30 | 2017-09-19 | Google Inc. | Custom electronic message presentation based on electronic message category |
US9015192B1 (en) | 2013-12-30 | 2015-04-21 | Google Inc. | Systems and methods for improved processing of personalized message queries |
US9542668B2 (en) | 2013-12-30 | 2017-01-10 | Google Inc. | Systems and methods for clustering electronic messages |
US11483274B2 (en) | 2013-12-31 | 2022-10-25 | Google Llc | Systems and methods for displaying labels in a clustering in-box environment |
US10209859B2 (en) | 2013-12-31 | 2019-02-19 | Findo, Inc. | Method and system for cross-platform searching of multiple information sources and devices |
US11190476B2 (en) | 2013-12-31 | 2021-11-30 | Google Llc | Systems and methods for displaying labels in a clustering in-box environment |
US20150186381A1 (en) * | 2013-12-31 | 2015-07-02 | Abbyy Development Llc | Method and System for Smart Ranking of Search Results |
US9124546B2 (en) * | 2013-12-31 | 2015-09-01 | Google Inc. | Systems and methods for throttling display of electronic messages |
US9152307B2 (en) | 2013-12-31 | 2015-10-06 | Google Inc. | Systems and methods for simultaneously displaying clustered, in-line electronic messages in one display |
US9778817B2 (en) | 2013-12-31 | 2017-10-03 | Findo, Inc. | Tagging of images based on social network tags or comments |
US10616164B2 (en) | 2013-12-31 | 2020-04-07 | Google Llc | Systems and methods for displaying labels in a clustering in-box environment |
US10033679B2 (en) | 2013-12-31 | 2018-07-24 | Google Llc | Systems and methods for displaying unseen labels in a clustering in-box environment |
US10021053B2 (en) | 2013-12-31 | 2018-07-10 | Google Llc | Systems and methods for throttling display of electronic messages |
US9306893B2 (en) | 2013-12-31 | 2016-04-05 | Google Inc. | Systems and methods for progressive message flow |
US11729131B2 (en) | 2013-12-31 | 2023-08-15 | Google Llc | Systems and methods for displaying unseen labels in a clustering in-box environment |
US10602424B2 (en) | 2014-03-14 | 2020-03-24 | goTenna Inc. | System and method for digital communication between computing devices |
US9756549B2 (en) | 2014-03-14 | 2017-09-05 | goTenna Inc. | System and method for digital communication between computing devices |
US10015720B2 (en) | 2014-03-14 | 2018-07-03 | GoTenna, Inc. | System and method for digital communication between computing devices |
US20200067864A1 (en) * | 2014-04-24 | 2020-02-27 | Sprout Social Inc. | System and methods for integrating social network information |
US20150312190A1 (en) * | 2014-04-24 | 2015-10-29 | Aaron Rankin | System and methods for integrating social network information |
AU2015202807B2 (en) * | 2014-05-23 | 2019-01-17 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
CN110875878A (en) * | 2014-05-23 | 2020-03-10 | 三星电子株式会社 | System and method for providing voice-message call service |
US9456074B2 (en) * | 2014-05-23 | 2016-09-27 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US20150340037A1 (en) * | 2014-05-23 | 2015-11-26 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US10284706B2 (en) | 2014-05-23 | 2019-05-07 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
EP2947861A1 (en) * | 2014-05-23 | 2015-11-25 | Samsung Electronics Co., Ltd | System and method of providing voice-message call service |
CN110933238A (en) * | 2014-05-23 | 2020-03-27 | 三星电子株式会社 | System and method for providing voice-message call service |
AU2019202418B2 (en) * | 2014-05-23 | 2020-06-04 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
CN105100511A (en) * | 2014-05-23 | 2015-11-25 | 三星电子株式会社 | System and method of providing voice-message call service |
US20150341481A1 (en) * | 2014-05-23 | 2015-11-26 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US9736292B2 (en) | 2014-05-23 | 2017-08-15 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US9906641B2 (en) * | 2014-05-23 | 2018-02-27 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
EP3496377A1 (en) * | 2014-05-23 | 2019-06-12 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US10917511B2 (en) * | 2014-05-23 | 2021-02-09 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
RU2692763C2 (en) * | 2014-05-23 | 2019-06-27 | Самсунг Электроникс Ко., Лтд. | System and method of providing voice call service with messages |
CN108810291A (en) * | 2014-05-23 | 2018-11-13 | 三星电子株式会社 | The system and method that " voice-message " calling service is provided |
EP3393112A1 (en) * | 2014-05-23 | 2018-10-24 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
EP3793178A1 (en) * | 2014-05-23 | 2021-03-17 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US10075578B2 (en) | 2014-05-23 | 2018-09-11 | Samsung Electronics Co., Ltd. | System and method of providing voice-message call service |
US10657966B2 (en) | 2014-05-30 | 2020-05-19 | Apple Inc. | Better resolution when referencing to concepts |
US9760559B2 (en) | 2014-05-30 | 2017-09-12 | Apple Inc. | Predictive text input |
US10083690B2 (en) | 2014-05-30 | 2018-09-25 | Apple Inc. | Better resolution when referencing to concepts |
US11257504B2 (en) | 2014-05-30 | 2022-02-22 | Apple Inc. | Intelligent assistant for home automation |
US10699717B2 (en) | 2014-05-30 | 2020-06-30 | Apple Inc. | Intelligent assistant for home automation |
US10497365B2 (en) | 2014-05-30 | 2019-12-03 | Apple Inc. | Multi-command single utterance input method |
US10169329B2 (en) | 2014-05-30 | 2019-01-01 | Apple Inc. | Exemplar-based natural language processing |
US9785630B2 (en) | 2014-05-30 | 2017-10-10 | Apple Inc. | Text prediction using combined word N-gram and unigram language models |
US10417344B2 (en) | 2014-05-30 | 2019-09-17 | Apple Inc. | Exemplar-based natural language processing |
US11810562B2 (en) | 2014-05-30 | 2023-11-07 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US10078631B2 (en) | 2014-05-30 | 2018-09-18 | Apple Inc. | Entropy-guided text prediction using combined word and character n-gram language models |
US10878809B2 (en) | 2014-05-30 | 2020-12-29 | Apple Inc. | Multi-command single utterance input method |
US11133008B2 (en) | 2014-05-30 | 2021-09-28 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US9715875B2 (en) | 2014-05-30 | 2017-07-25 | Apple Inc. | Reducing the need for manual start/end-pointing and trigger phrases |
US11699448B2 (en) | 2014-05-30 | 2023-07-11 | Apple Inc. | Intelligent assistant for home automation |
US10714095B2 (en) | 2014-05-30 | 2020-07-14 | Apple Inc. | Intelligent assistant for home automation |
US9842101B2 (en) | 2014-05-30 | 2017-12-12 | Apple Inc. | Predictive conversion of language input |
US9966065B2 (en) | 2014-05-30 | 2018-05-08 | Apple Inc. | Multi-command single utterance input method |
US11670289B2 (en) | 2014-05-30 | 2023-06-06 | Apple Inc. | Multi-command single utterance input method |
US10659851B2 (en) | 2014-06-30 | 2020-05-19 | Apple Inc. | Real-time digital assistant knowledge updates |
US10904611B2 (en) | 2014-06-30 | 2021-01-26 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US11838579B2 (en) | 2014-06-30 | 2023-12-05 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US11516537B2 (en) | 2014-06-30 | 2022-11-29 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US9668024B2 (en) | 2014-06-30 | 2017-05-30 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US9338493B2 (en) | 2014-06-30 | 2016-05-10 | Apple Inc. | Intelligent automated assistant for TV user interactions |
US10446141B2 (en) | 2014-08-28 | 2019-10-15 | Apple Inc. | Automatic speech recognition based on user feedback |
US10431204B2 (en) | 2014-09-11 | 2019-10-01 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
US9818400B2 (en) | 2014-09-11 | 2017-11-14 | Apple Inc. | Method and apparatus for discovering trending terms in speech requests |
US10789041B2 (en) | 2014-09-12 | 2020-09-29 | Apple Inc. | Dynamic thresholds for always listening speech trigger |
US9986419B2 (en) | 2014-09-30 | 2018-05-29 | Apple Inc. | Social reminders |
US10127911B2 (en) | 2014-09-30 | 2018-11-13 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
US10453443B2 (en) | 2014-09-30 | 2019-10-22 | Apple Inc. | Providing an indication of the suitability of speech recognition |
US10390213B2 (en) | 2014-09-30 | 2019-08-20 | Apple Inc. | Social reminders |
US10074360B2 (en) | 2014-09-30 | 2018-09-11 | Apple Inc. | Providing an indication of the suitability of speech recognition |
US9646609B2 (en) | 2014-09-30 | 2017-05-09 | Apple Inc. | Caching apparatus for serving phonetic pronunciations |
US9886432B2 (en) | 2014-09-30 | 2018-02-06 | Apple Inc. | Parsimonious handling of word inflection via categorical stem + suffix N-gram language models |
US9668121B2 (en) | 2014-09-30 | 2017-05-30 | Apple Inc. | Social reminders |
US10438595B2 (en) | 2014-09-30 | 2019-10-08 | Apple Inc. | Speaker identification and unsupervised speaker adaptation techniques |
US11556230B2 (en) | 2014-12-02 | 2023-01-17 | Apple Inc. | Data detection |
US10552013B2 (en) | 2014-12-02 | 2020-02-04 | Apple Inc. | Data detection |
US11231904B2 (en) | 2015-03-06 | 2022-01-25 | Apple Inc. | Reducing response latency of intelligent automated assistants |
US9865280B2 (en) | 2015-03-06 | 2018-01-09 | Apple Inc. | Structured dictation using intelligent automated assistants |
US10311871B2 (en) | 2015-03-08 | 2019-06-04 | Apple Inc. | Competing devices responding to voice triggers |
US11842734B2 (en) | 2015-03-08 | 2023-12-12 | Apple Inc. | Virtual assistant activation |
US10529332B2 (en) | 2015-03-08 | 2020-01-07 | Apple Inc. | Virtual assistant activation |
US10930282B2 (en) | 2015-03-08 | 2021-02-23 | Apple Inc. | Competing devices responding to voice triggers |
US11087759B2 (en) | 2015-03-08 | 2021-08-10 | Apple Inc. | Virtual assistant activation |
US9721566B2 (en) | 2015-03-08 | 2017-08-01 | Apple Inc. | Competing devices responding to voice triggers |
US9886953B2 (en) | 2015-03-08 | 2018-02-06 | Apple Inc. | Virtual assistant activation |
US10567477B2 (en) | 2015-03-08 | 2020-02-18 | Apple Inc. | Virtual assistant continuity |
US9899019B2 (en) | 2015-03-18 | 2018-02-20 | Apple Inc. | Systems and methods for structured stem and suffix language models |
US9842105B2 (en) | 2015-04-16 | 2017-12-12 | Apple Inc. | Parsimonious continuous-space phrase representations for natural language processing |
US11468282B2 (en) | 2015-05-15 | 2022-10-11 | Apple Inc. | Virtual assistant in a communication session |
US10812438B1 (en) | 2015-05-26 | 2020-10-20 | Facebook, Inc. | Integrated telephone applications on online social networks |
US10083688B2 (en) | 2015-05-27 | 2018-09-25 | Apple Inc. | Device voice control for selecting a displayed affordance |
US11127397B2 (en) | 2015-05-27 | 2021-09-21 | Apple Inc. | Device voice control |
US11070949B2 (en) | 2015-05-27 | 2021-07-20 | Apple Inc. | Systems and methods for proactively identifying and surfacing relevant content on an electronic device with a touch-sensitive display |
US10127220B2 (en) | 2015-06-04 | 2018-11-13 | Apple Inc. | Language identification from short strings |
US10101822B2 (en) | 2015-06-05 | 2018-10-16 | Apple Inc. | Language input correction |
US10356243B2 (en) | 2015-06-05 | 2019-07-16 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
US10681212B2 (en) | 2015-06-05 | 2020-06-09 | Apple Inc. | Virtual assistant aided communication with 3rd party service in a communication session |
US10255907B2 (en) | 2015-06-07 | 2019-04-09 | Apple Inc. | Automatic accent detection using acoustic models |
US10186254B2 (en) | 2015-06-07 | 2019-01-22 | Apple Inc. | Context-based endpoint detection |
US11025565B2 (en) | 2015-06-07 | 2021-06-01 | Apple Inc. | Personalized prediction of responses for instant messaging |
US11010127B2 (en) | 2015-06-29 | 2021-05-18 | Apple Inc. | Virtual assistant for media playback |
US11947873B2 (en) | 2015-06-29 | 2024-04-02 | Apple Inc. | Virtual assistant for media playback |
US11853536B2 (en) | 2015-09-08 | 2023-12-26 | Apple Inc. | Intelligent automated assistant in a media environment |
US10747498B2 (en) | 2015-09-08 | 2020-08-18 | Apple Inc. | Zero latency digital assistant |
US11126400B2 (en) | 2015-09-08 | 2021-09-21 | Apple Inc. | Zero latency digital assistant |
US11809483B2 (en) | 2015-09-08 | 2023-11-07 | Apple Inc. | Intelligent automated assistant for media search and playback |
US11954405B2 (en) | 2015-09-08 | 2024-04-09 | Apple Inc. | Zero latency digital assistant |
US11550542B2 (en) | 2015-09-08 | 2023-01-10 | Apple Inc. | Zero latency digital assistant |
US11500672B2 (en) | 2015-09-08 | 2022-11-15 | Apple Inc. | Distributed personal assistant |
US10671428B2 (en) | 2015-09-08 | 2020-06-02 | Apple Inc. | Distributed personal assistant |
US9697820B2 (en) | 2015-09-24 | 2017-07-04 | Apple Inc. | Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks |
US11010550B2 (en) | 2015-09-29 | 2021-05-18 | Apple Inc. | Unified language modeling framework for word prediction, auto-completion and auto-correction |
US10366158B2 (en) | 2015-09-29 | 2019-07-30 | Apple Inc. | Efficient word encoding for recurrent neural network language models |
US11587559B2 (en) | 2015-09-30 | 2023-02-21 | Apple Inc. | Intelligent device identification |
US11526368B2 (en) | 2015-11-06 | 2022-12-13 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US10691473B2 (en) | 2015-11-06 | 2020-06-23 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US11809886B2 (en) | 2015-11-06 | 2023-11-07 | Apple Inc. | Intelligent automated assistant in a messaging environment |
US11886805B2 (en) | 2015-11-09 | 2024-01-30 | Apple Inc. | Unconventional virtual assistant interactions |
US10354652B2 (en) | 2015-12-02 | 2019-07-16 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
US10049668B2 (en) | 2015-12-02 | 2018-08-14 | Apple Inc. | Applying neural network language models to weighted finite state transducers for automatic speech recognition |
US11853647B2 (en) | 2015-12-23 | 2023-12-26 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US10223066B2 (en) | 2015-12-23 | 2019-03-05 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US10942703B2 (en) | 2015-12-23 | 2021-03-09 | Apple Inc. | Proactive assistance based on dialog communication between devices |
US10446143B2 (en) | 2016-03-14 | 2019-10-15 | Apple Inc. | Identification of voice inputs providing credentials |
EP4009610A1 (en) * | 2016-03-28 | 2022-06-08 | Microsoft Technology Licensing, LLC | Multi-modal conversational intercom |
US11487512B2 (en) | 2016-03-29 | 2022-11-01 | Microsoft Technology Licensing, Llc | Generating a services application |
US9934775B2 (en) | 2016-05-26 | 2018-04-03 | Apple Inc. | Unit-selection text-to-speech synthesis based on predicted concatenation parameters |
EP3253019A1 (en) * | 2016-06-02 | 2017-12-06 | Deutsche Telekom AG | Devices and method for communicating via a communication network |
WO2017207780A1 (en) * | 2016-06-02 | 2017-12-07 | Deutsche Telekom Ag | Apparatuses and methods for communicating via a communication network |
US9972304B2 (en) | 2016-06-03 | 2018-05-15 | Apple Inc. | Privacy preserving distributed evaluation framework for embedded personalized systems |
US11227589B2 (en) | 2016-06-06 | 2022-01-18 | Apple Inc. | Intelligent list reading |
US10249300B2 (en) | 2016-06-06 | 2019-04-02 | Apple Inc. | Intelligent list reading |
US10049663B2 (en) | 2016-06-08 | 2018-08-14 | Apple, Inc. | Intelligent automated assistant for media exploration |
US11069347B2 (en) | 2016-06-08 | 2021-07-20 | Apple Inc. | Intelligent automated assistant for media exploration |
US10354011B2 (en) | 2016-06-09 | 2019-07-16 | Apple Inc. | Intelligent automated assistant in a home environment |
US11037565B2 (en) | 2016-06-10 | 2021-06-15 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
US10509862B2 (en) | 2016-06-10 | 2019-12-17 | Apple Inc. | Dynamic phrase expansion of language input |
US10490187B2 (en) | 2016-06-10 | 2019-11-26 | Apple Inc. | Digital assistant providing automated status report |
US11657820B2 (en) | 2016-06-10 | 2023-05-23 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
US10192552B2 (en) | 2016-06-10 | 2019-01-29 | Apple Inc. | Digital assistant providing whispered speech |
US10067938B2 (en) | 2016-06-10 | 2018-09-04 | Apple Inc. | Multilingual word prediction |
US10733993B2 (en) | 2016-06-10 | 2020-08-04 | Apple Inc. | Intelligent digital assistant in a multi-tasking environment |
US10089072B2 (en) | 2016-06-11 | 2018-10-02 | Apple Inc. | Intelligent device arbitration and control |
US10521466B2 (en) | 2016-06-11 | 2019-12-31 | Apple Inc. | Data driven natural language event detection and classification |
US11749275B2 (en) | 2016-06-11 | 2023-09-05 | Apple Inc. | Application integration with a digital assistant |
US10942702B2 (en) | 2016-06-11 | 2021-03-09 | Apple Inc. | Intelligent device arbitration and control |
US11809783B2 (en) | 2016-06-11 | 2023-11-07 | Apple Inc. | Intelligent device arbitration and control |
US10580409B2 (en) | 2016-06-11 | 2020-03-03 | Apple Inc. | Application integration with a digital assistant |
US10269345B2 (en) | 2016-06-11 | 2019-04-23 | Apple Inc. | Intelligent task discovery |
US11152002B2 (en) | 2016-06-11 | 2021-10-19 | Apple Inc. | Application integration with a digital assistant |
US10297253B2 (en) | 2016-06-11 | 2019-05-21 | Apple Inc. | Application integration with a digital assistant |
US20180063070A1 (en) * | 2016-08-30 | 2018-03-01 | Ncr Corporation | Messaging integration |
US10439979B2 (en) * | 2016-08-30 | 2019-10-08 | Ncr Corporation | Messaging integration |
US10474753B2 (en) | 2016-09-07 | 2019-11-12 | Apple Inc. | Language identification using recurrent neural networks |
US10553215B2 (en) | 2016-09-23 | 2020-02-04 | Apple Inc. | Intelligent automated assistant |
US10043516B2 (en) | 2016-09-23 | 2018-08-07 | Apple Inc. | Intelligent automated assistant |
US11281993B2 (en) | 2016-12-05 | 2022-03-22 | Apple Inc. | Model and ensemble compression for metric learning |
US10593346B2 (en) | 2016-12-22 | 2020-03-17 | Apple Inc. | Rank-reduced token representation for automatic speech recognition |
US11656884B2 (en) | 2017-01-09 | 2023-05-23 | Apple Inc. | Application integration with a digital assistant |
US11204787B2 (en) | 2017-01-09 | 2021-12-21 | Apple Inc. | Application integration with a digital assistant |
US10417266B2 (en) | 2017-05-09 | 2019-09-17 | Apple Inc. | Context-aware ranking of intelligent response suggestions |
US10741181B2 (en) | 2017-05-09 | 2020-08-11 | Apple Inc. | User interface for correcting recognition errors |
US10332518B2 (en) | 2017-05-09 | 2019-06-25 | Apple Inc. | User interface for correcting recognition errors |
US10755703B2 (en) | 2017-05-11 | 2020-08-25 | Apple Inc. | Offline personal assistant |
US11599331B2 (en) | 2017-05-11 | 2023-03-07 | Apple Inc. | Maintaining privacy of personal information |
US10726832B2 (en) | 2017-05-11 | 2020-07-28 | Apple Inc. | Maintaining privacy of personal information |
US10847142B2 (en) | 2017-05-11 | 2020-11-24 | Apple Inc. | Maintaining privacy of personal information |
US11467802B2 (en) | 2017-05-11 | 2022-10-11 | Apple Inc. | Maintaining privacy of personal information |
US10395654B2 (en) | 2017-05-11 | 2019-08-27 | Apple Inc. | Text normalization based on a data-driven learning network |
US10791176B2 (en) | 2017-05-12 | 2020-09-29 | Apple Inc. | Synchronization and task delegation of a digital assistant |
US11580990B2 (en) | 2017-05-12 | 2023-02-14 | Apple Inc. | User-specific acoustic models |
US11301477B2 (en) | 2017-05-12 | 2022-04-12 | Apple Inc. | Feedback analysis of a digital assistant |
US10789945B2 (en) | 2017-05-12 | 2020-09-29 | Apple Inc. | Low-latency intelligent automated assistant |
US11380310B2 (en) | 2017-05-12 | 2022-07-05 | Apple Inc. | Low-latency intelligent automated assistant |
US11862151B2 (en) | 2017-05-12 | 2024-01-02 | Apple Inc. | Low-latency intelligent automated assistant |
US11837237B2 (en) | 2017-05-12 | 2023-12-05 | Apple Inc. | User-specific acoustic models |
US11405466B2 (en) | 2017-05-12 | 2022-08-02 | Apple Inc. | Synchronization and task delegation of a digital assistant |
US10410637B2 (en) | 2017-05-12 | 2019-09-10 | Apple Inc. | User-specific acoustic models |
US11538469B2 (en) | 2017-05-12 | 2022-12-27 | Apple Inc. | Low-latency intelligent automated assistant |
US10482874B2 (en) | 2017-05-15 | 2019-11-19 | Apple Inc. | Hierarchical belief states for digital assistants |
US10810274B2 (en) | 2017-05-15 | 2020-10-20 | Apple Inc. | Optimizing dialogue policy decisions for digital assistants using implicit feedback |
US10403278B2 (en) | 2017-05-16 | 2019-09-03 | Apple Inc. | Methods and systems for phonetic matching in digital assistant services |
US10909171B2 (en) | 2017-05-16 | 2021-02-02 | Apple Inc. | Intelligent automated assistant for media exploration |
US11217255B2 (en) | 2017-05-16 | 2022-01-04 | Apple Inc. | Far-field extension for digital assistant services |
US11675829B2 (en) | 2017-05-16 | 2023-06-13 | Apple Inc. | Intelligent automated assistant for media exploration |
US10748546B2 (en) | 2017-05-16 | 2020-08-18 | Apple Inc. | Digital assistant services based on device capabilities |
US10303715B2 (en) | 2017-05-16 | 2019-05-28 | Apple Inc. | Intelligent automated assistant for media exploration |
US11532306B2 (en) | 2017-05-16 | 2022-12-20 | Apple Inc. | Detecting a trigger of a digital assistant |
US10311144B2 (en) | 2017-05-16 | 2019-06-04 | Apple Inc. | Emoji word sense disambiguation |
US10657328B2 (en) | 2017-06-02 | 2020-05-19 | Apple Inc. | Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling |
US11310189B1 (en) | 2017-06-14 | 2022-04-19 | Medallia, Inc. | Method and system to converse across fragmented messaging services based on discussion topics |
EP3639151A4 (en) * | 2017-06-14 | 2021-03-10 | Medallia, Inc. | Method and system to converse across fragmented messaging services based on discussion topics |
US10445429B2 (en) | 2017-09-21 | 2019-10-15 | Apple Inc. | Natural language understanding using vocabularies with compressed serialized tries |
US10755051B2 (en) | 2017-09-29 | 2020-08-25 | Apple Inc. | Rule-based natural language processing |
US10636424B2 (en) | 2017-11-30 | 2020-04-28 | Apple Inc. | Multi-turn canned dialog |
CN109962840A (en) * | 2017-12-26 | 2019-07-02 | 福建兑信科技有限公司 | A kind of personalization group chat information reading system and method |
US10733982B2 (en) | 2018-01-08 | 2020-08-04 | Apple Inc. | Multi-directional dialog |
US10733375B2 (en) | 2018-01-31 | 2020-08-04 | Apple Inc. | Knowledge-based framework for improving natural language understanding |
US10789959B2 (en) | 2018-03-02 | 2020-09-29 | Apple Inc. | Training speaker recognition models for digital assistants |
US10592604B2 (en) | 2018-03-12 | 2020-03-17 | Apple Inc. | Inverse text normalization for automatic speech recognition |
US10818288B2 (en) | 2018-03-26 | 2020-10-27 | Apple Inc. | Natural assistant interaction |
US11710482B2 (en) | 2018-03-26 | 2023-07-25 | Apple Inc. | Natural assistant interaction |
US10909331B2 (en) | 2018-03-30 | 2021-02-02 | Apple Inc. | Implicit identification of translation payload with neural machine translation |
US11145294B2 (en) | 2018-05-07 | 2021-10-12 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US11854539B2 (en) | 2018-05-07 | 2023-12-26 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US11900923B2 (en) | 2018-05-07 | 2024-02-13 | Apple Inc. | Intelligent automated assistant for delivering content from user experiences |
US11487364B2 (en) | 2018-05-07 | 2022-11-01 | Apple Inc. | Raise to speak |
US10928918B2 (en) | 2018-05-07 | 2021-02-23 | Apple Inc. | Raise to speak |
US11169616B2 (en) | 2018-05-07 | 2021-11-09 | Apple Inc. | Raise to speak |
US11907436B2 (en) | 2018-05-07 | 2024-02-20 | Apple Inc. | Raise to speak |
US10984780B2 (en) | 2018-05-21 | 2021-04-20 | Apple Inc. | Global semantic word embeddings using bi-directional recurrent neural networks |
US11386266B2 (en) | 2018-06-01 | 2022-07-12 | Apple Inc. | Text correction |
US10403283B1 (en) | 2018-06-01 | 2019-09-03 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
US10892996B2 (en) | 2018-06-01 | 2021-01-12 | Apple Inc. | Variable latency device coordination |
US10720160B2 (en) | 2018-06-01 | 2020-07-21 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
US11630525B2 (en) | 2018-06-01 | 2023-04-18 | Apple Inc. | Attention aware virtual assistant dismissal |
US11360577B2 (en) | 2018-06-01 | 2022-06-14 | Apple Inc. | Attention aware virtual assistant dismissal |
US11009970B2 (en) | 2018-06-01 | 2021-05-18 | Apple Inc. | Attention aware virtual assistant dismissal |
US11431642B2 (en) | 2018-06-01 | 2022-08-30 | Apple Inc. | Variable latency device coordination |
US10684703B2 (en) | 2018-06-01 | 2020-06-16 | Apple Inc. | Attention aware virtual assistant dismissal |
US10984798B2 (en) | 2018-06-01 | 2021-04-20 | Apple Inc. | Voice interaction at a primary device to access call functionality of a companion device |
US11495218B2 (en) | 2018-06-01 | 2022-11-08 | Apple Inc. | Virtual assistant operation in multi-device environments |
US10944859B2 (en) | 2018-06-03 | 2021-03-09 | Apple Inc. | Accelerated task performance |
US10504518B1 (en) | 2018-06-03 | 2019-12-10 | Apple Inc. | Accelerated task performance |
US10496705B1 (en) | 2018-06-03 | 2019-12-03 | Apple Inc. | Accelerated task performance |
US11010561B2 (en) | 2018-09-27 | 2021-05-18 | Apple Inc. | Sentiment prediction from textual data |
US11170166B2 (en) | 2018-09-28 | 2021-11-09 | Apple Inc. | Neural typographical error modeling via generative adversarial networks |
US11893992B2 (en) | 2018-09-28 | 2024-02-06 | Apple Inc. | Multi-modal inputs for voice commands |
US10839159B2 (en) | 2018-09-28 | 2020-11-17 | Apple Inc. | Named entity normalization in a spoken dialog system |
US11462215B2 (en) | 2018-09-28 | 2022-10-04 | Apple Inc. | Multi-modal inputs for voice commands |
US11475898B2 (en) | 2018-10-26 | 2022-10-18 | Apple Inc. | Low-latency multi-speaker speech recognition |
US11638059B2 (en) | 2019-01-04 | 2023-04-25 | Apple Inc. | Content playback on multiple devices |
US11348573B2 (en) | 2019-03-18 | 2022-05-31 | Apple Inc. | Multimodality in digital assistant systems |
US11783815B2 (en) | 2019-03-18 | 2023-10-10 | Apple Inc. | Multimodality in digital assistant systems |
US11423908B2 (en) | 2019-05-06 | 2022-08-23 | Apple Inc. | Interpreting spoken requests |
US11675491B2 (en) | 2019-05-06 | 2023-06-13 | Apple Inc. | User configurable task triggers |
US11705130B2 (en) | 2019-05-06 | 2023-07-18 | Apple Inc. | Spoken notifications |
US11475884B2 (en) | 2019-05-06 | 2022-10-18 | Apple Inc. | Reducing digital assistant latency when a language is incorrectly determined |
US11217251B2 (en) | 2019-05-06 | 2022-01-04 | Apple Inc. | Spoken notifications |
US11307752B2 (en) | 2019-05-06 | 2022-04-19 | Apple Inc. | User configurable task triggers |
US11140099B2 (en) | 2019-05-21 | 2021-10-05 | Apple Inc. | Providing message response suggestions |
US11888791B2 (en) | 2019-05-21 | 2024-01-30 | Apple Inc. | Providing message response suggestions |
US11657813B2 (en) | 2019-05-31 | 2023-05-23 | Apple Inc. | Voice identification in digital assistant systems |
US11360739B2 (en) | 2019-05-31 | 2022-06-14 | Apple Inc. | User activity shortcut suggestions |
US11237797B2 (en) | 2019-05-31 | 2022-02-01 | Apple Inc. | User activity shortcut suggestions |
US11496600B2 (en) | 2019-05-31 | 2022-11-08 | Apple Inc. | Remote execution of machine-learned models |
US11289073B2 (en) | 2019-05-31 | 2022-03-29 | Apple Inc. | Device text to speech |
US11790914B2 (en) | 2019-06-01 | 2023-10-17 | Apple Inc. | Methods and user interfaces for voice-based control of electronic devices |
US11360641B2 (en) | 2019-06-01 | 2022-06-14 | Apple Inc. | Increasing the relevance of new available information |
US11488406B2 (en) | 2019-09-25 | 2022-11-01 | Apple Inc. | Text detection using global geometry estimators |
US11914848B2 (en) | 2020-05-11 | 2024-02-27 | Apple Inc. | Providing relevant data items based on context |
US11924254B2 (en) | 2020-05-11 | 2024-03-05 | Apple Inc. | Digital assistant hardware abstraction |
US11765209B2 (en) | 2020-05-11 | 2023-09-19 | Apple Inc. | Digital assistant hardware abstraction |
US11755276B2 (en) | 2020-05-12 | 2023-09-12 | Apple Inc. | Reducing description length based on confidence |
US11838734B2 (en) | 2020-07-20 | 2023-12-05 | Apple Inc. | Multi-device audio adjustment coordination |
US11750962B2 (en) | 2020-07-21 | 2023-09-05 | Apple Inc. | User identification using headphones |
US11696060B2 (en) | 2020-07-21 | 2023-07-04 | Apple Inc. | User identification using headphones |
Also Published As
Publication number | Publication date |
---|---|
US10805257B2 (en) | 2020-10-13 |
WO2013028325A2 (en) | 2013-02-28 |
WO2013028325A3 (en) | 2013-05-10 |
US20140122628A1 (en) | 2014-05-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10805257B2 (en) | Unified messaging system with integration of call log data | |
US10484533B2 (en) | Messaging interface based on caller of an incoming call | |
US10263934B2 (en) | Proxied outgoing message transmission | |
US9800537B2 (en) | Generating conversation threads for a unified messaging system | |
US20190182192A1 (en) | Messaging Object Generation for Synchronous Conversation Threads | |
US10572098B2 (en) | Sharing location information during a communication session | |
US10582042B2 (en) | Social caller ID with reverse look-up | |
US11399093B2 (en) | Dialer with real-time reverse look-up including social data | |
US9986099B2 (en) | Voicemail proxy server | |
US9407691B2 (en) | Call-termination-triggered social interface | |
US9455942B2 (en) | Conversation timeline for heterogeneous messaging system | |
US20140181092A1 (en) | Management of intended future conversations | |
US20230377026A1 (en) | Embedding texting and calling communications into media items |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: FACEBOOK, INC., CALIFORNIA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:YAO, ROSE;WALKIN, BRANDON MARSHALL;REEL/FRAME:026911/0148 Effective date: 20110913 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |
|
AS | Assignment |
Owner name: META PLATFORMS, INC., CALIFORNIA Free format text: CHANGE OF NAME;ASSIGNOR:FACEBOOK, INC.;REEL/FRAME:058553/0802 Effective date: 20211028 |