US20110231396A1 - System and method for providing predictive contacts - Google Patents
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- G—PHYSICS
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- 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
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- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
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Definitions
- the present disclosure relates to managing contacts and more specifically to providing a context-sensitive list of predictive contacts.
- a system configured to practice the method first analyzes a communication history and a current usage context of a user.
- the communication history can include emails, instant messaging, phone calls, video conferences, and calendar events.
- the system ranks contacts that the user is likely to communicate with from a list of contacts to yield ranked contacts and identifies a respective motive for ranking each contact.
- the motive can include a history of interactions between the user and a respective contact.
- the system presents a predictive list of contacts based at least in part on the ranked contacts, wherein each ranked contact in the predictive list of contacts includes at least part of the respective motive.
- the system updates the predictive list of contacts in real time as the current usage context changes.
- the system further identifies a likely communication modality for each ranked contact, and presents, as part of the predictive list of contacts, the likely communication modality.
- the system receives from the user a request to ignore one respective motive. In response, the system reranks the contacts based on the request to ignore the one respective motive, and presents an updated predictive list of contacts based at least in part on the reranked contacts.
- FIG. 1 illustrates an example system embodiment
- FIG. 2 illustrates an exemplary communications environment
- FIG. 3 illustrates an exemplary list of predictive contacts
- FIG. 4 illustrates an example method embodiment
- the present disclosure addresses the need in the art for providing predictive contacts based on context.
- a system, method and non-transitory computer-readable media are disclosed which provide predictive contacts.
- a brief introductory description of a basic general purpose system or computing device in FIG. 1 which can be employed to practice the concepts is disclosed herein.
- the disclosure turns to a more detailed description of the methods and environments in which the system can provide predictive contacts.
- FIG. 1 The disclosure now turns to FIG. 1 .
- an exemplary system 100 includes a general-purpose computing device 100 , including a processing unit (CPU or processor) 120 and a system bus 110 that couples various system components including the system memory 130 such as read only memory (ROM) 140 and random access memory (RAM) 150 to the processor 120 .
- the system 100 can include a cache of high speed memory connected directly with, in close proximity to, or integrated as part of the processor 120 .
- the system 100 copies data from the memory 130 and/or the storage device 160 to the cache for quick access by the processor 120 . In this way, the cache provides a performance boost that avoids processor 120 delays while waiting for data.
- These and other modules can control or be configured to control the processor 120 to perform various actions.
- Other system memory 130 may be available for use as well.
- the memory 130 can include multiple different types of memory with different performance characteristics. It can be appreciated that the disclosure may operate on a computing device 100 with more than one processor 120 or on a group or cluster of computing devices networked together to provide greater processing capability.
- the processor 120 can include any general purpose processor and a hardware module or software module, such as module 1 162 , module 2 164 , and module 3 166 stored in storage device 160 , configured to control the processor 120 as well as a special-purpose processor where software instructions are incorporated into the actual processor design.
- the processor 120 may essentially be a completely self-contained computing system, containing multiple cores or processors, a bus, memory controller, cache, etc.
- a multi-core processor may be symmetric or asymmetric.
- the system bus 110 may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures.
- a basic input/output (BIOS) stored in ROM 140 or the like may provide the basic routine that helps to transfer information between elements within the computing device 100 , such as during start-up.
- the computing device 100 further includes storage devices 160 such as a hard disk drive, a magnetic disk drive, an optical disk drive, tape drive or the like.
- the storage device 160 can include software modules 162 , 164 , 166 for controlling the processor 120 . Other hardware or software modules are contemplated.
- the storage device 160 is connected to the system bus 110 by a drive interface.
- the drives and the associated computer readable storage media provide nonvolatile storage of computer readable instructions, data structures, program modules and other data for the computing device 100 .
- a hardware module that performs a particular function includes the software component stored in a non-transitory computer-readable medium in connection with the necessary hardware components, such as the processor 120 , bus 110 , display 170 , and so forth, to carry out the function.
- the basic components are known to those of skill in the art and appropriate variations are contemplated depending on the type of device, such as whether the device 100 is a small, handheld computing device, a desktop computer, or a computer server.
- Non-transitory computer-readable storage media expressly exclude media such as energy, carrier signals, electromagnetic waves, and signals per se.
- an input device 190 represents any number of input mechanisms, such as a microphone for speech, a touch-sensitive screen for gesture or graphical input, keyboard, mouse, motion input, speech and so forth.
- An output device 170 can also be one or more of a number of output mechanisms known to those of skill in the art.
- multimodal systems enable a user to provide multiple types of input to communicate with the computing device 100 .
- the communications interface 180 generally governs and manages the user input and system output. There is no restriction on operating on any particular hardware arrangement and therefore the basic features here may easily be substituted for improved hardware or firmware arrangements as they are developed.
- the illustrative system embodiment is presented as including individual functional blocks including functional blocks labeled as a “processor” or processor 120 .
- the functions these blocks represent may be provided through the use of either shared or dedicated hardware, including, but not limited to, hardware capable of executing software and hardware, such as a processor 120 , that is purpose-built to operate as an equivalent to software executing on a general purpose processor.
- the functions of one or more processors presented in FIG. 1 may be provided by a single shared processor or multiple processors.
- Illustrative embodiments may include microprocessor and/or digital signal processor (DSP) hardware, read-only memory (ROM) 140 for storing software performing the operations discussed below, and random access memory (RAM) 150 for storing results.
- DSP digital signal processor
- ROM read-only memory
- RAM random access memory
- VLSI Very large scale integration
- the logical operations of the various embodiments are implemented as: (1) a sequence of computer implemented steps, operations, or procedures running on a programmable circuit within a general use computer, (2) a sequence of computer implemented steps, operations, or procedures running on a specific-use programmable circuit; and/or (3) interconnected machine modules or program engines within the programmable circuits.
- the system 100 shown in FIG. 1 can practice all or part of the recited methods, can be a part of the recited systems, and/or can operate according to instructions in the recited non-transitory computer-readable storage media.
- Such logical operations can be implemented as modules configured to control the processor 120 to perform particular functions according to the programming of the module. For example, FIG.
- Mod 1 162 , Mod 2 164 and Mod 3 166 which are modules configured to control the processor 120 . These modules may be stored on the storage device 160 and loaded into RAM 150 or memory 130 at runtime or may be stored as would be known in the art in other computer-readable memory locations.
- the disclosure returns to a discussion of generating and presenting predictive contacts.
- This approach generates a predictive list of relevant contacts based on multiple sources of information, such as email history, IM history, call frequency, and so forth.
- a user services layer can mine information from many sources that a predictive contact widget can use to generate a list of contacts.
- the predictive contact component is a separate hardware and/or software widget that operates in conjunction with traditional communications equipment, but the predictive contact elements described herein can also be incorporated with communications equipment.
- the system uses that information and can add ‘user context’ at any given time to predict the contacts needed by the user.
- the system can use an algorithm to rank all or part of the contacts based on the above information.
- the system can display on a user interface a widget or other notification presenting a short history of a user's interactions with each predicted contact (i.e. a brief summary of recent communications with them).
- This solution presents a list of predicted people that the user may want to contact.
- the system can dynamically update the list based on a current communication, such as an email being received, or based on the user's activities or context.
- This approach provides users with a dynamic contact list without manual contact management.
- This approach uses information gleaned from many different communications modalities (email, IM, voice calls, conference calls, text messages, etc.) to determine a predictive contact list. Further, a user of a predictive contact list can drill down to determine which communications or what pieces of information in a communications history led to a particular contact's placement in the predictive contact list.
- This approach provides at least three benefits. First, this approach provides an optimal predictive list of people likely to be contacted by the user. Second, this approach provides the user access to the “why” behind the list of contacts and the order of the contacts. Third, this approach generates the list based on a variety of different communication paths (email, calls, IM, and so forth) and users' context at any given time.
- FIG. 2 illustrates an exemplary communications environment 200 in which the predictive contacts system can operate.
- a user 202 uses a computing device 204 , such as a smart phone, desktop computer, laptop computer, tablet computing device, or smart television set-top box, to communicate via a communication network 206 with another user 208 .
- the device 204 and/or other system monitors the user's current communication context and compares that context with a communication history 212 . Based on similarities in context, content, or other factors, the device 204 and/or other system selects and presents a list of predictive contacts from a list of contacts 210 .
- the list of contacts 212 can be stored entirely or partially in a network-based database 214 , as can the communication history 216 .
- the system can analyze the content of the instant messaging session (for example, the discussion of Fred) and the context of the instant messaging session (for example, a discussion with Bob at a particular time of day and day of the week). Based on the analysis, the system predicts that the user 202 and Bob are likely to want to talk with Fred. The system can assign Fred a higher ranking in the list of predictive contacts in real time to reflect that content and context. In this way, the user 202 can click on the list item for Fred and view current information for Fred based on Fred's presence and can also initiate a separate communication session with Fred or can request that Fred join the current communication session between the user 202 and Bob.
- FIG. 3 illustrates an exemplary list of predictive contacts 300 , such as the device 204 would display as part of a graphical user interface to the user 202 .
- This exemplary list of predictive contacts 300 includes three entries: Mary 302 , Joe 304 , and Nick 306 .
- the list of predictive contacts can be pure text or can include multimedia content.
- each predictive contact in the list includes a profile image, a name, a telephone number, and an email.
- Each contact can include more or less information.
- the contact listing can include presence information, available communication modalities, social network information, notes, memos, and other information describing the contact or the contact's relationship to the user.
- each contact can include at least part of the motivation 308 , 310 , 312 for their appearance and placement in the predictive list of contacts.
- the list includes an excerpt of a communication log between the user and Mary from which the system deduced that the user is very likely to contact Mary at this time.
- the list includes an explanation of the high ranking of Joe based on a pattern of calling Joe on Fridays.
- the list bases the ranking on a somewhat frequent and loosely connected pattern of communication sessions. For example, the system tracks that after the user speaks with his manager, the user sometimes calls Nick. Thus, after the user speaks with his manager, the system can bump the ranking of Nick so Nick moves up the list.
- the system can apply a decay rate to Nick's ranking so he is gradually ranked lower. For example, if, when the user calls Nick after speaking to his manager, the user typically calls within three minutes of speaking with his manager, the system can rank Nick in a high position for three minutes and then rapidly decrease Nick's ranking thereafter.
- the system 100 first analyzes a communication history and a current usage context of a user to yield an analysis ( 402 ).
- the communication history can include, for example, an email history, an instant messaging history, a call history, a video conference history, and a past calendar event. Different portions of the communication history can be stored on different communications devices, such as users' cell phones, a network-based communication server, a web calendar, and so forth.
- the system operates in real time and constantly compares the current usage context to the communication history.
- the system is triggered by a discrete event, such as receiving an incoming instant message or the user picking up a telephone receiver to make a call.
- the current usage context can include data such as time of day, day of the week, previous communications (including the timing, content, participants, and metadata of previous communications), location, a user identity, a calendar of past, current, and/or future events, and so forth.
- the system 100 ranks contacts that the user is likely to communicate with from a list of contacts to yield ranked contacts ( 404 ).
- the system assigns each contact a probability score.
- the system only processes a subset of the entire list of contacts.
- the system performs a very speed efficient, perhaps not as accurate, initial ranking, and then uses the initial ranking to cull less likely candidates from a more comprehensive, and perhaps more time intensive, ranking process.
- the system can also sort or filter ranked contacts using different sets of criteria, such as phone calls, instant messages, contacts with whom the user has communicated in the last 30 days, and so forth.
- the system 100 identifies a respective motive for ranking each contact ( 406 ).
- the system can identify the motive for ranking each contact as the system ranks the contacts.
- the motive can include, for example, a history of interactions between the user and a respective contact.
- the system can highly rank a first contact in touch with the user on a daily basis.
- the motivation for the first contact's high rank is the consistent communication history.
- the system can highly rank a second contact because the user left a message on the answering machine of the second contact and indicated in the message that the user would call again soon.
- the motivation for the second contact's high rank is that the user said he would call again soon despite not having the lengthy communication history like the first contact.
- the motivation can include multiple factors.
- the user can filter and sort predictive contacts based on one or more factor.
- the system can receive from the user a request to ignore one respective motive, rerank the contacts based on the request to ignore the one respective motive, and present an updated predictive list of contacts based at least in part on the reranked contacts.
- the system 100 can base the motive at least partially on how sent communications are viewed with respect to received communications. This portion of the motive reflects how a user's interest in incoming messages based on the user's responses and corresponding actions with respect to the incoming messages. For example, if Amy receives hourly emails from Fred, the system 100 might be inclined to assign Fred a higher ranking However, if Amy has no interest in Fred or what Fred has to say, she may delete Fred's emails without reading them or after having the email open for only a few moments. Such interactions are not indicative of a strong connection between Amy and Fred.
- the system 100 can analyze such interactions and assign Fred a lower ranking Alternatively, if Amy opens each of Fred's emails and replies in an average of 2 minutes or less, the system 100 can assign Fred a higher ranking.
- the system 100 can consider several factors for sent messages.
- One exemplary factor is the mean arrival time of received messages versus mean sent time for sent messages. This factor can predict whom the user is likely to contact at any given time and/or after receiving a message from a person.
- Another exemplary factor is the time difference between received messages and sent messages.
- a low value can indicate to the system 100 that a contact is of high importance to the user.
- a high value can indicate to the system 100 that the user either never responds to certain messages or takes a long time to respond.
- the system 100 is tied into social media, such as Facebook or Twitter. If the user is friends with a contact on Facebook, the system can boost the ranking for that contact. The system can also adjust the ranking based on a number of other social network elements, such as a number of shared contacts, how often the user has viewed that contact's profile page or feed, total time the user has spent interacting with the contact via social media, and so forth. On the other hand, if a user has removed a contact as a friend on Facebook or has recently denied a friend request from the contact, the system 100 can rank that contact lower.
- social media such as Facebook or Twitter.
- the system 100 can determine the motive and/or rankings based on other extra-system factors. For example, during working hours, a user's immediate supervisor is ranked highly and the motivation can be based on the fact that the time of day indicates that the user is at work. After working hours, the system 100 can rank the supervisor much lower based on the motivation that the user is not ‘on the clock’. Similarly, user location can influence motive. For example, if the user is in New York City, the system 100 can boost the ranking of contacts residing or working in and around New York City.
- the system 100 can apply an algorithm to modify rankings, such as an inverse square algorithm where a small distance between a contact and the user corresponds to a large increase to that contact's ranking and a large distance corresponds accordingly to a small increase in the ranking, no change in the ranking, or a reduction of the ranking.
- an algorithm to modify rankings such as an inverse square algorithm where a small distance between a contact and the user corresponds to a large increase to that contact's ranking and a large distance corresponds accordingly to a small increase in the ranking, no change in the ranking, or a reduction of the ranking.
- the system 100 can assemble a composite of multiple factors and/or motivations, including the ones described above and others, to arrive at a particular ranking value for a contact.
- the system 100 presents a predictive list of contacts based at least in part on the ranked contacts, wherein each ranked contact in the predictive list of contacts includes at least part of the respective motive ( 408 ).
- the system can present the predictive list of contacts with real time updates as the current usage context changes.
- the system presents the predictive list of contacts in response to a discrete event that triggers the system to generate a predictive list of contacts.
- the system identifies a likely communication modality for each ranked contact and presents, as part of the predictive list of contacts, the likely communication modality.
- Embodiments within the scope of the present disclosure may also include tangible and/or non-transitory computer-readable storage media for carrying or having computer-executable instructions or data structures stored thereon.
- Such non-transitory computer-readable storage media can be any available media that can be accessed by a general purpose or special purpose computer, including the functional design of any special purpose processor as discussed above.
- non-transitory computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computer-executable instructions, data structures, or processor chip design.
- Computer-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions.
- Computer-executable instructions also include program modules that are executed by computers in stand-alone or network environments.
- program modules include routines, programs, components, data structures, objects, and the functions inherent in the design of special-purpose processors, etc. that perform particular tasks or implement particular abstract data types.
- Computer-executable instructions, associated data structures, and program modules represent examples of the program code means for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represents examples of corresponding acts for implementing the functions described in such steps.
- Embodiments of the disclosure may be practiced in network computing environments with many types of computer system configurations, including personal computers, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, and the like. Embodiments may also be practiced in distributed computing environments where tasks are performed by local and remote processing devices that are linked (either by hardwired links, wireless links, or by a combination thereof) through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Abstract
Description
- This application claims priority to U.S. Provisional Application 61/315,719, filed 19 Mar. 2010, the contents of which are herein incorporated by reference in their entirety.
- 1. Technical Field
- The present disclosure relates to managing contacts and more specifically to providing a context-sensitive list of predictive contacts.
- 2. Introduction
- Traditional approaches to contacts require users to manually manage and maintain their contacts. This approach is workable when the list of contacts tends to be more static, but when the list of contacts is more dynamic, manual contact management quickly becomes difficult and excessively time consuming to maintain. When a list of contacts grows too large, users often simply revert to a search of LDAP, Post, Active Directory, or other similar directories to obtain contact information.
- Further, traditional approaches to listing contacts are static. These static approaches to listing contacts can waste user time. For example, a user must search for a contact even if the contact was recently used. Some existing approaches attempt to sort contacts in a predictive order, but these approaches are based on a limited set of information, do not take in to account a current user context, and do not indicate why or how the list of contacts are ordered in a particular way.
- One significant shortfall of the approaches known in the art is that they do not provide a mechanism whereby, at any given time, given a set of communication sessions (email, voice, chat, etc) and their interactions (missed, answered), present solutions do not provide a way of predicting which contacts the user needs. Also, the present solutions do not provide transparency showing how or why a set of contacts is ordered in a particular way and do not account for a sufficiently broad interaction/communication data set.
- Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or can be learned by practice of the herein disclosed principles. The features and advantages of the disclosure can be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims. These and other features of the disclosure will become more fully apparent from the following description and appended claims, or can be learned by the practice of the principles set forth herein.
- Disclosed are systems, methods, and non-transitory computer-readable storage media for providing predictive contacts. A system configured to practice the method first analyzes a communication history and a current usage context of a user. The communication history can include emails, instant messaging, phone calls, video conferences, and calendar events. Based on the analysis, the system ranks contacts that the user is likely to communicate with from a list of contacts to yield ranked contacts and identifies a respective motive for ranking each contact. The motive can include a history of interactions between the user and a respective contact. Then the system presents a predictive list of contacts based at least in part on the ranked contacts, wherein each ranked contact in the predictive list of contacts includes at least part of the respective motive. In one regard, the system updates the predictive list of contacts in real time as the current usage context changes.
- In one variation, the system further identifies a likely communication modality for each ranked contact, and presents, as part of the predictive list of contacts, the likely communication modality. In another variation, the system receives from the user a request to ignore one respective motive. In response, the system reranks the contacts based on the request to ignore the one respective motive, and presents an updated predictive list of contacts based at least in part on the reranked contacts.
- In order to describe the manner in which the above-recited and other advantages and features of the disclosure can be obtained, a more particular description of the principles briefly described above will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only exemplary embodiments of the disclosure and are not therefore to be considered to be limiting of its scope, the principles herein are described and explained with additional specificity and detail through the use of the accompanying drawings in which:
-
FIG. 1 illustrates an example system embodiment; -
FIG. 2 illustrates an exemplary communications environment; -
FIG. 3 illustrates an exemplary list of predictive contacts; and -
FIG. 4 illustrates an example method embodiment. - Various embodiments of the disclosure are discussed in detail below. While specific implementations are discussed, it should be understood that this is done for illustration purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without parting from the spirit and scope of the disclosure.
- The present disclosure addresses the need in the art for providing predictive contacts based on context. A system, method and non-transitory computer-readable media are disclosed which provide predictive contacts. A brief introductory description of a basic general purpose system or computing device in
FIG. 1 which can be employed to practice the concepts is disclosed herein. Afterward, the disclosure turns to a more detailed description of the methods and environments in which the system can provide predictive contacts. The disclosure now turns toFIG. 1 . - With reference to
FIG. 1 , anexemplary system 100 includes a general-purpose computing device 100, including a processing unit (CPU or processor) 120 and asystem bus 110 that couples various system components including thesystem memory 130 such as read only memory (ROM) 140 and random access memory (RAM) 150 to theprocessor 120. Thesystem 100 can include a cache of high speed memory connected directly with, in close proximity to, or integrated as part of theprocessor 120. Thesystem 100 copies data from thememory 130 and/or thestorage device 160 to the cache for quick access by theprocessor 120. In this way, the cache provides a performance boost that avoidsprocessor 120 delays while waiting for data. These and other modules can control or be configured to control theprocessor 120 to perform various actions.Other system memory 130 may be available for use as well. Thememory 130 can include multiple different types of memory with different performance characteristics. It can be appreciated that the disclosure may operate on acomputing device 100 with more than oneprocessor 120 or on a group or cluster of computing devices networked together to provide greater processing capability. Theprocessor 120 can include any general purpose processor and a hardware module or software module, such asmodule 1 162,module 2 164, andmodule 3 166 stored instorage device 160, configured to control theprocessor 120 as well as a special-purpose processor where software instructions are incorporated into the actual processor design. Theprocessor 120 may essentially be a completely self-contained computing system, containing multiple cores or processors, a bus, memory controller, cache, etc. A multi-core processor may be symmetric or asymmetric. - The
system bus 110 may be any of several types of bus structures including a memory bus or memory controller, a peripheral bus, and a local bus using any of a variety of bus architectures. A basic input/output (BIOS) stored inROM 140 or the like, may provide the basic routine that helps to transfer information between elements within thecomputing device 100, such as during start-up. Thecomputing device 100 further includesstorage devices 160 such as a hard disk drive, a magnetic disk drive, an optical disk drive, tape drive or the like. Thestorage device 160 can includesoftware modules processor 120. Other hardware or software modules are contemplated. Thestorage device 160 is connected to thesystem bus 110 by a drive interface. The drives and the associated computer readable storage media provide nonvolatile storage of computer readable instructions, data structures, program modules and other data for thecomputing device 100. In one aspect, a hardware module that performs a particular function includes the software component stored in a non-transitory computer-readable medium in connection with the necessary hardware components, such as theprocessor 120,bus 110,display 170, and so forth, to carry out the function. The basic components are known to those of skill in the art and appropriate variations are contemplated depending on the type of device, such as whether thedevice 100 is a small, handheld computing device, a desktop computer, or a computer server. - Although the exemplary embodiment described herein employs the
hard disk 160, it should be appreciated by those skilled in the art that other types of computer readable media which can store data that are accessible by a computer, such as magnetic cassettes, flash memory cards, digital versatile disks, cartridges, random access memories (RAMs) 150, read only memory (ROM) 140, a cable or wireless signal containing a bit stream and the like, may also be used in the exemplary operating environment. Non-transitory computer-readable storage media expressly exclude media such as energy, carrier signals, electromagnetic waves, and signals per se. - To enable user interaction with the
computing device 100, aninput device 190 represents any number of input mechanisms, such as a microphone for speech, a touch-sensitive screen for gesture or graphical input, keyboard, mouse, motion input, speech and so forth. Anoutput device 170 can also be one or more of a number of output mechanisms known to those of skill in the art. In some instances, multimodal systems enable a user to provide multiple types of input to communicate with thecomputing device 100. Thecommunications interface 180 generally governs and manages the user input and system output. There is no restriction on operating on any particular hardware arrangement and therefore the basic features here may easily be substituted for improved hardware or firmware arrangements as they are developed. - For clarity of explanation, the illustrative system embodiment is presented as including individual functional blocks including functional blocks labeled as a “processor” or
processor 120. The functions these blocks represent may be provided through the use of either shared or dedicated hardware, including, but not limited to, hardware capable of executing software and hardware, such as aprocessor 120, that is purpose-built to operate as an equivalent to software executing on a general purpose processor. For example the functions of one or more processors presented inFIG. 1 may be provided by a single shared processor or multiple processors. (Use of the term “processor” should not be construed to refer exclusively to hardware capable of executing software.) Illustrative embodiments may include microprocessor and/or digital signal processor (DSP) hardware, read-only memory (ROM) 140 for storing software performing the operations discussed below, and random access memory (RAM) 150 for storing results. Very large scale integration (VLSI) hardware embodiments, as well as custom VLSI circuitry in combination with a general purpose DSP circuit, may also be provided. - The logical operations of the various embodiments are implemented as: (1) a sequence of computer implemented steps, operations, or procedures running on a programmable circuit within a general use computer, (2) a sequence of computer implemented steps, operations, or procedures running on a specific-use programmable circuit; and/or (3) interconnected machine modules or program engines within the programmable circuits. The
system 100 shown inFIG. 1 can practice all or part of the recited methods, can be a part of the recited systems, and/or can operate according to instructions in the recited non-transitory computer-readable storage media. Such logical operations can be implemented as modules configured to control theprocessor 120 to perform particular functions according to the programming of the module. For example,FIG. 1 illustrates threemodules Mod1 162,Mod2 164 andMod3 166 which are modules configured to control theprocessor 120. These modules may be stored on thestorage device 160 and loaded intoRAM 150 ormemory 130 at runtime or may be stored as would be known in the art in other computer-readable memory locations. - Having discussed some basic computing system components, the disclosure returns to a discussion of generating and presenting predictive contacts. This approach generates a predictive list of relevant contacts based on multiple sources of information, such as email history, IM history, call frequency, and so forth. A user services layer can mine information from many sources that a predictive contact widget can use to generate a list of contacts. In one aspect, the predictive contact component is a separate hardware and/or software widget that operates in conjunction with traditional communications equipment, but the predictive contact elements described herein can also be incorporated with communications equipment. The system uses that information and can add ‘user context’ at any given time to predict the contacts needed by the user. The system can use an algorithm to rank all or part of the contacts based on the above information. The system can display on a user interface a widget or other notification presenting a short history of a user's interactions with each predicted contact (i.e. a brief summary of recent communications with them). This solution presents a list of predicted people that the user may want to contact. The system can dynamically update the list based on a current communication, such as an email being received, or based on the user's activities or context.
- This approach provides users with a dynamic contact list without manual contact management. This approach uses information gleaned from many different communications modalities (email, IM, voice calls, conference calls, text messages, etc.) to determine a predictive contact list. Further, a user of a predictive contact list can drill down to determine which communications or what pieces of information in a communications history led to a particular contact's placement in the predictive contact list.
- This approach provides at least three benefits. First, this approach provides an optimal predictive list of people likely to be contacted by the user. Second, this approach provides the user access to the “why” behind the list of contacts and the order of the contacts. Third, this approach generates the list based on a variety of different communication paths (email, calls, IM, and so forth) and users' context at any given time.
-
FIG. 2 illustrates anexemplary communications environment 200 in which the predictive contacts system can operate. In thisenvironment 200, auser 202 uses acomputing device 204, such as a smart phone, desktop computer, laptop computer, tablet computing device, or smart television set-top box, to communicate via acommunication network 206 with anotheruser 208. Either as part of a periodic, continuous, or event-driven process, thedevice 204 and/or other system monitors the user's current communication context and compares that context with acommunication history 212. Based on similarities in context, content, or other factors, thedevice 204 and/or other system selects and presents a list of predictive contacts from a list ofcontacts 210. In one aspect, the list ofcontacts 212 can be stored entirely or partially in a network-baseddatabase 214, as can thecommunication history 216. - For example, if the
user 202 is talking to Bob via instant messaging and discussing Fred, the system can analyze the content of the instant messaging session (for example, the discussion of Fred) and the context of the instant messaging session (for example, a discussion with Bob at a particular time of day and day of the week). Based on the analysis, the system predicts that theuser 202 and Bob are likely to want to talk with Fred. The system can assign Fred a higher ranking in the list of predictive contacts in real time to reflect that content and context. In this way, theuser 202 can click on the list item for Fred and view current information for Fred based on Fred's presence and can also initiate a separate communication session with Fred or can request that Fred join the current communication session between theuser 202 and Bob. -
FIG. 3 illustrates an exemplary list ofpredictive contacts 300, such as thedevice 204 would display as part of a graphical user interface to theuser 202. This exemplary list ofpredictive contacts 300 includes three entries:Mary 302,Joe 304, andNick 306. The list of predictive contacts can be pure text or can include multimedia content. For example, each predictive contact in the list includes a profile image, a name, a telephone number, and an email. Each contact can include more or less information. For example, the contact listing can include presence information, available communication modalities, social network information, notes, memos, and other information describing the contact or the contact's relationship to the user. In addition, each contact can include at least part of themotivation motivation 308, the list includes an excerpt of a communication log between the user and Mary from which the system deduced that the user is very likely to contact Mary at this time. In anothermotivation 310, the list includes an explanation of the high ranking of Joe based on a pattern of calling Joe on Fridays. In yet anothermotivation 312, the list bases the ranking on a somewhat frequent and loosely connected pattern of communication sessions. For example, the system tracks that after the user speaks with his manager, the user sometimes calls Nick. Thus, after the user speaks with his manager, the system can bump the ranking of Nick so Nick moves up the list. As time passes after the user's conversation with the manager, the system can apply a decay rate to Nick's ranking so he is gradually ranked lower. For example, if, when the user calls Nick after speaking to his manager, the user typically calls within three minutes of speaking with his manager, the system can rank Nick in a high position for three minutes and then rapidly decrease Nick's ranking thereafter. - Having disclosed some basic system components and concepts, the disclosure now turns to the exemplary method embodiment for providing predictive contacts as shown in
FIG. 4 . For the sake of clarity, the method is discussed in terms of anexemplary system 100 as shown inFIG. 1 configured to practice the method. Thesystem 100 first analyzes a communication history and a current usage context of a user to yield an analysis (402). The communication history can include, for example, an email history, an instant messaging history, a call history, a video conference history, and a past calendar event. Different portions of the communication history can be stored on different communications devices, such as users' cell phones, a network-based communication server, a web calendar, and so forth. In one aspect, the system operates in real time and constantly compares the current usage context to the communication history. In another aspect, the system is triggered by a discrete event, such as receiving an incoming instant message or the user picking up a telephone receiver to make a call. The current usage context can include data such as time of day, day of the week, previous communications (including the timing, content, participants, and metadata of previous communications), location, a user identity, a calendar of past, current, and/or future events, and so forth. - Based on the analysis, the
system 100 ranks contacts that the user is likely to communicate with from a list of contacts to yield ranked contacts (404). In one aspect, the system assigns each contact a probability score. In another aspect, the system only processes a subset of the entire list of contacts. In a blended approach, the system performs a very speed efficient, perhaps not as accurate, initial ranking, and then uses the initial ranking to cull less likely candidates from a more comprehensive, and perhaps more time intensive, ranking process. The system can also sort or filter ranked contacts using different sets of criteria, such as phone calls, instant messages, contacts with whom the user has communicated in the last 30 days, and so forth. - The
system 100 identifies a respective motive for ranking each contact (406). The system can identify the motive for ranking each contact as the system ranks the contacts. The motive can include, for example, a history of interactions between the user and a respective contact. In this case, the system can highly rank a first contact in touch with the user on a daily basis. The motivation for the first contact's high rank is the consistent communication history. The system can highly rank a second contact because the user left a message on the answering machine of the second contact and indicated in the message that the user would call again soon. In this case, the motivation for the second contact's high rank is that the user said he would call again soon despite not having the lengthy communication history like the first contact. The motivation can include multiple factors. The user can filter and sort predictive contacts based on one or more factor. For example, the system can receive from the user a request to ignore one respective motive, rerank the contacts based on the request to ignore the one respective motive, and present an updated predictive list of contacts based at least in part on the reranked contacts. - Further, the
system 100 can base the motive at least partially on how sent communications are viewed with respect to received communications. This portion of the motive reflects how a user's interest in incoming messages based on the user's responses and corresponding actions with respect to the incoming messages. For example, if Amy receives hourly emails from Fred, thesystem 100 might be inclined to assign Fred a higher ranking However, if Amy has no interest in Fred or what Fred has to say, she may delete Fred's emails without reading them or after having the email open for only a few moments. Such interactions are not indicative of a strong connection between Amy and Fred. Thesystem 100 can analyze such interactions and assign Fred a lower ranking Alternatively, if Amy opens each of Fred's emails and replies in an average of 2 minutes or less, thesystem 100 can assign Fred a higher ranking. Thesystem 100 can consider several factors for sent messages. One exemplary factor is the mean arrival time of received messages versus mean sent time for sent messages. This factor can predict whom the user is likely to contact at any given time and/or after receiving a message from a person. Another exemplary factor is the time difference between received messages and sent messages. A low value can indicate to thesystem 100 that a contact is of high importance to the user. A high value can indicate to thesystem 100 that the user either never responds to certain messages or takes a long time to respond. Thus, if the user never responds to a message from a certain contact, then the mean sent time is very high and the system does not rank that contact very highly regardless of how many times that contact sends (or attempts to send) the user messages. These and similar factors can influence how thesystem 100 ranks contacts. - In another aspect, the
system 100 is tied into social media, such as Facebook or Twitter. If the user is friends with a contact on Facebook, the system can boost the ranking for that contact. The system can also adjust the ranking based on a number of other social network elements, such as a number of shared contacts, how often the user has viewed that contact's profile page or feed, total time the user has spent interacting with the contact via social media, and so forth. On the other hand, if a user has removed a contact as a friend on Facebook or has recently denied a friend request from the contact, thesystem 100 can rank that contact lower. - The
system 100 can determine the motive and/or rankings based on other extra-system factors. For example, during working hours, a user's immediate supervisor is ranked highly and the motivation can be based on the fact that the time of day indicates that the user is at work. After working hours, thesystem 100 can rank the supervisor much lower based on the motivation that the user is not ‘on the clock’. Similarly, user location can influence motive. For example, if the user is in New York City, thesystem 100 can boost the ranking of contacts residing or working in and around New York City. Thesystem 100 can apply an algorithm to modify rankings, such as an inverse square algorithm where a small distance between a contact and the user corresponds to a large increase to that contact's ranking and a large distance corresponds accordingly to a small increase in the ranking, no change in the ranking, or a reduction of the ranking. - The
system 100 can assemble a composite of multiple factors and/or motivations, including the ones described above and others, to arrive at a particular ranking value for a contact. - The
system 100 presents a predictive list of contacts based at least in part on the ranked contacts, wherein each ranked contact in the predictive list of contacts includes at least part of the respective motive (408). The system can present the predictive list of contacts with real time updates as the current usage context changes. In another aspect, the system presents the predictive list of contacts in response to a discrete event that triggers the system to generate a predictive list of contacts. In one modification, the system identifies a likely communication modality for each ranked contact and presents, as part of the predictive list of contacts, the likely communication modality. - Embodiments within the scope of the present disclosure may also include tangible and/or non-transitory computer-readable storage media for carrying or having computer-executable instructions or data structures stored thereon. Such non-transitory computer-readable storage media can be any available media that can be accessed by a general purpose or special purpose computer, including the functional design of any special purpose processor as discussed above. By way of example, and not limitation, such non-transitory computer-readable media can include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computer-executable instructions, data structures, or processor chip design. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or combination thereof) to a computer, the computer properly views the connection as a computer-readable medium. Thus, any such connection is properly termed a computer-readable medium. Combinations of the above should also be included within the scope of the computer-readable media.
- Computer-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Computer-executable instructions also include program modules that are executed by computers in stand-alone or network environments. Generally, program modules include routines, programs, components, data structures, objects, and the functions inherent in the design of special-purpose processors, etc. that perform particular tasks or implement particular abstract data types. Computer-executable instructions, associated data structures, and program modules represent examples of the program code means for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represents examples of corresponding acts for implementing the functions described in such steps.
- Those of skill in the art will appreciate that other embodiments of the disclosure may be practiced in network computing environments with many types of computer system configurations, including personal computers, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, and the like. Embodiments may also be practiced in distributed computing environments where tasks are performed by local and remote processing devices that are linked (either by hardwired links, wireless links, or by a combination thereof) through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
- The various embodiments described above are provided by way of illustration only and should not be construed to limit the scope of the disclosure. For example, the principles herein can be applied to set-top phones, mobile phones, or other mobile communications devices. The predictive contact system components can reside on a communications device and/or in a communication network. Those skilled in the art will readily recognize various modifications and changes that may be made to the principles described herein without following the example embodiments and applications illustrated and described herein, and without departing from the spirit and scope of the disclosure.
Claims (20)
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Cited By (32)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120226704A1 (en) * | 2011-03-02 | 2012-09-06 | International Business Machines Corporation | Systems and methods for presenting electronic contact lists |
US20130124535A1 (en) * | 2011-11-16 | 2013-05-16 | Electronics And Telecommunications Research Institute | Apparatus and method for calculating intimacy |
US20130212171A1 (en) * | 2012-02-10 | 2013-08-15 | Bank Of America | Systems and methods for selective routing of remote client contact(s) |
US8630860B1 (en) * | 2011-03-03 | 2014-01-14 | Nuance Communications, Inc. | Speaker and call characteristic sensitive open voice search |
US20140082000A1 (en) * | 2012-09-18 | 2014-03-20 | International Business Machines Corporation | System and method configured to automatically invite participants to a meeting based on relation to meeting materials |
US20140143329A1 (en) * | 2012-11-20 | 2014-05-22 | International Business Machines Corporation | Discovering signature of electronic social networks |
US20140295787A1 (en) * | 2013-03-27 | 2014-10-02 | Electronics And Telecommunications Research Institute | Method and apparatus for visualizing record data |
US9020965B1 (en) * | 2011-09-29 | 2015-04-28 | Google Inc. | Social networking relationship ranking and decay |
US9094476B1 (en) | 2011-06-16 | 2015-07-28 | Google Inc. | Ambient communication session |
US20150281925A1 (en) * | 2012-10-16 | 2015-10-01 | Snaptalk Limited | Smartphone conferencing system and method of operating same |
US20150381525A1 (en) * | 2014-06-30 | 2015-12-31 | Emc Corporation | Application and information movement in a cloud environment |
US20160299900A1 (en) * | 2010-12-17 | 2016-10-13 | Facebook, Inc. | Ranking of address book contacts based on social proximity |
US9477371B2 (en) | 2013-06-18 | 2016-10-25 | Avaya Inc. | Meeting roster awareness |
US9578602B1 (en) * | 2011-03-15 | 2017-02-21 | Google Inc. | Device aware social graphs |
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 |
US9858625B2 (en) | 2015-04-28 | 2018-01-02 | International Business Machines Corporation | Leveraging skipped relationships in a social network |
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 |
US20180032961A1 (en) * | 2016-07-29 | 2018-02-01 | Linkedln Corporation | Techniques for presenting a contextual contact list |
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 |
US20190141176A1 (en) * | 2016-05-10 | 2019-05-09 | Christophe Bernard | Method for aiding the issuing of an interactive communication request, server, terminals and programs for the implementation of the method |
US10356193B2 (en) | 2007-07-25 | 2019-07-16 | Oath Inc. | Indexing and searching content behind links presented in a communication |
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 |
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 |
US10616409B2 (en) * | 2014-06-17 | 2020-04-07 | Lenovo (Singapore) Pte Ltd | Sharing device availability |
US10685072B2 (en) * | 2010-06-02 | 2020-06-16 | Oath Inc. | Personalizing an online service based on data collected for a user of a computing device |
US10769221B1 (en) | 2012-08-20 | 2020-09-08 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US11068511B2 (en) * | 2018-03-27 | 2021-07-20 | International Business Machines Corporation | Aggregate relationship graph |
US11175808B2 (en) | 2013-07-23 | 2021-11-16 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US11218377B2 (en) | 2019-09-20 | 2022-01-04 | Lenovo (Singapore) Pte. Ltd. | Prediction of loss of network connection and caching of content |
US11232409B2 (en) | 2011-06-30 | 2022-01-25 | Verizon Media Inc. | Presenting entity profile information to a user of a computing device |
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 |
US11755995B2 (en) | 2009-07-08 | 2023-09-12 | Yahoo Assets Llc | Locally hosting a social network using social data stored on a user's computer |
Families Citing this family (156)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2007143394A2 (en) | 2006-06-02 | 2007-12-13 | Nielsen Media Research, Inc. | Digital rights management systems and methods for audience measurement |
US9800721B2 (en) * | 2010-09-07 | 2017-10-24 | Securus Technologies, Inc. | Multi-party conversation analyzer and logger |
CA2771845C (en) * | 2011-03-18 | 2016-05-17 | Research In Motion Limited | Method and apparatus for protecting moderator access for a conference call |
US8315620B1 (en) * | 2011-05-27 | 2012-11-20 | The Nielsen Company (Us), Llc | Methods and apparatus to associate a mobile device with a panelist profile |
US20130013364A1 (en) * | 2011-07-08 | 2013-01-10 | Beers Ted W | Managing establishment of a scheduled event |
US8743171B2 (en) * | 2011-08-10 | 2014-06-03 | Polycom, Inc. | Automated calendared conference rescheduling and forwarding |
US20130044180A1 (en) * | 2011-08-16 | 2013-02-21 | Sony Corporation | Stereoscopic teleconferencing techniques |
US9495352B1 (en) | 2011-09-24 | 2016-11-15 | Athena Ann Smyros | Natural language determiner to identify functions of a device equal to a user manual |
US20130094642A1 (en) * | 2011-10-14 | 2013-04-18 | Rawllin International Inc. | Call scheduling system |
US8914850B1 (en) * | 2011-10-14 | 2014-12-16 | West Corporation | Context aware transactions performed on integrated service platforms |
US9601117B1 (en) * | 2011-11-30 | 2017-03-21 | West Corporation | Method and apparatus of processing user data of a multi-speaker conference call |
US8364133B1 (en) * | 2011-12-02 | 2013-01-29 | Research In Motion Limited | Method and apparatus for managing private moderator codes for conference calls |
KR20130091197A (en) * | 2012-02-07 | 2013-08-16 | 삼성전자주식회사 | Method and system for completing schedule information, and computer readable recording medium thereof |
EP2629502B1 (en) * | 2012-02-15 | 2020-04-08 | BlackBerry Limited | A communication device for providing an automatically initiated outgoing communication as an incoming communication |
US8761365B2 (en) | 2012-02-15 | 2014-06-24 | Blackberry Limited | Communication device for providing an automatically initiated outgoing communication as an incoming communication |
US8850522B2 (en) | 2012-03-27 | 2014-09-30 | Microsoft Corporation | Participant authentication and authorization for joining a private conference event via a conference event environment system |
US10475000B2 (en) * | 2012-04-27 | 2019-11-12 | Blackberry Limited | Systems and methods for providing files in relation to a calendar event |
US9779260B1 (en) | 2012-06-11 | 2017-10-03 | Dell Software Inc. | Aggregation and classification of secure data |
US20140013240A1 (en) * | 2012-07-03 | 2014-01-09 | Google Inc. | Creating social group events |
KR101938332B1 (en) * | 2012-07-11 | 2019-01-14 | 캠프모바일 주식회사 | Method, service server, mobile phone and computer readable recording medium for mobile phone authentication |
KR101923113B1 (en) * | 2012-07-12 | 2018-11-28 | 캠프모바일 주식회사 | Method, service server, mobile phone and computer readable recording medium for invitation information processing |
US9112995B2 (en) * | 2012-08-31 | 2015-08-18 | Verizon Patent And Licensing Inc. | Calendar-based calling |
US9858591B2 (en) * | 2012-09-28 | 2018-01-02 | International Business Machines Corporation | Event determination and invitation generation |
US8897177B2 (en) | 2012-12-18 | 2014-11-25 | Vonage Network, Llc | Systems and methods of conducting conference calls |
US9374429B2 (en) * | 2012-12-18 | 2016-06-21 | Sony Corporation | System and method for sharing event information using icons |
US20140185417A1 (en) * | 2013-01-03 | 2014-07-03 | Ge Zhao | System and method for multi-user calendar synchronization and statistical analysis thereof |
US20150363379A1 (en) * | 2013-01-22 | 2015-12-17 | Nec Solution Innovators, Ltd. | Input support system, input support method and input support program |
EP2787708A1 (en) * | 2013-04-02 | 2014-10-08 | BlackBerry Limited | Method and system for switching between collaborative applications |
EP2793453A1 (en) * | 2013-04-19 | 2014-10-22 | Unify GmbH & Co. KG | Spoken name announcement |
US9736104B2 (en) | 2013-04-19 | 2017-08-15 | International Business Machines Corporation | Event determination and template-based invitation generation |
US9241072B2 (en) * | 2013-04-25 | 2016-01-19 | International Business Machines Corporation | Conference call authentication utilizing passcodes personal to users |
US9736088B1 (en) | 2013-05-01 | 2017-08-15 | PongPro LLC | Structured communication framework |
US9864974B2 (en) * | 2013-06-28 | 2018-01-09 | Microsoft Technology Licensing, Llc | Serendipitous issue reminder system |
US20150058425A1 (en) * | 2013-08-20 | 2015-02-26 | Eyal Nathan | Smart meeting service |
US9401938B2 (en) * | 2013-08-29 | 2016-07-26 | Citrix Systems, Inc. | Efficiently accessing web conferences from a mobile device |
US9491678B2 (en) | 2013-09-04 | 2016-11-08 | At&T Mobility Ii Llc | Cell broadcast for smart traffic steering across radio technologies with improved radio efficiency |
EP3038299A4 (en) * | 2013-09-25 | 2016-09-28 | Huawei Tech Co Ltd | Method for recording session information and recording server |
US20150109968A1 (en) * | 2013-10-21 | 2015-04-23 | Vonage Network Llc | Method and system for automating conferencing in a communication session |
US20150111553A1 (en) | 2013-10-21 | 2015-04-23 | Vonage Network Llc | Method and system for automating conferencing in a communication session |
US20150128058A1 (en) * | 2013-11-05 | 2015-05-07 | Avaya Inc. | System and method for predictive actions based on user communication patterns |
US9571595B2 (en) * | 2013-12-17 | 2017-02-14 | Microsoft Technology Licensing, Llc | Employment of presence-based history information in notebook application |
WO2015090412A1 (en) | 2013-12-19 | 2015-06-25 | Telefonaktiebolaget L M Ericsson (Publ) | Method and communication node for facilitating participation in telemeetings |
US9397904B2 (en) * | 2013-12-30 | 2016-07-19 | International Business Machines Corporation | System for identifying, monitoring and ranking incidents from social media |
US10296589B2 (en) * | 2014-02-24 | 2019-05-21 | Ca, Inc. | Grouping content based upon user activity |
US10664772B1 (en) | 2014-03-07 | 2020-05-26 | Steelcase Inc. | Method and system for facilitating collaboration sessions |
US9716861B1 (en) | 2014-03-07 | 2017-07-25 | Steelcase Inc. | Method and system for facilitating collaboration sessions |
US9774561B1 (en) * | 2014-03-10 | 2017-09-26 | Amazon Technologies, Inc. | Customized electronic document distribution |
US20150295964A1 (en) * | 2014-04-09 | 2015-10-15 | Brian S. Probolsky | Methods and systems for conducting an electronic device enhanced meeting |
US10365780B2 (en) * | 2014-05-05 | 2019-07-30 | Adobe Inc. | Crowdsourcing for documents and forms |
US11200542B2 (en) * | 2014-05-30 | 2021-12-14 | Apple Inc. | Intelligent appointment suggestions |
US9652500B2 (en) * | 2014-05-30 | 2017-05-16 | Microsoft Technology Licensing, Llc | Transformation and classification of time spent in collaborative activities for assessing organizational productivity and effectiveness |
US9955318B1 (en) | 2014-06-05 | 2018-04-24 | Steelcase Inc. | Space guidance and management system and method |
US9766079B1 (en) | 2014-10-03 | 2017-09-19 | Steelcase Inc. | Method and system for locating resources and communicating within an enterprise |
US9380682B2 (en) | 2014-06-05 | 2016-06-28 | Steelcase Inc. | Environment optimization for space based on presence and activities |
US11744376B2 (en) | 2014-06-06 | 2023-09-05 | Steelcase Inc. | Microclimate control systems and methods |
US10433646B1 (en) | 2014-06-06 | 2019-10-08 | Steelcaase Inc. | Microclimate control systems and methods |
US10614424B1 (en) * | 2014-08-27 | 2020-04-07 | Google Llc | Assisted creation for time based events |
US9900845B2 (en) | 2014-09-23 | 2018-02-20 | At&T Intellectual Property I, L.P. | Battery saving with radio control based on cellular condition data |
US10002345B2 (en) | 2014-09-26 | 2018-06-19 | At&T Intellectual Property I, L.P. | Conferencing auto agenda planner |
US9852388B1 (en) | 2014-10-03 | 2017-12-26 | Steelcase, Inc. | Method and system for locating resources and communicating within an enterprise |
US9137376B1 (en) | 2014-10-07 | 2015-09-15 | Shoretel, Inc. | Joining a teleconference |
US10628800B2 (en) * | 2014-10-28 | 2020-04-21 | Sugarcrm Inc. | Meeting launcher |
US9922048B1 (en) | 2014-12-01 | 2018-03-20 | Securus Technologies, Inc. | Automated background check via facial recognition |
US9549032B2 (en) * | 2014-12-19 | 2017-01-17 | Ca, Inc. | Mobile content management for offline content access |
US9979732B2 (en) * | 2015-01-15 | 2018-05-22 | Microsoft Technology Licensing, Llc | Contextually aware sharing recommendations |
US10223344B2 (en) | 2015-01-26 | 2019-03-05 | Adobe Inc. | Recognition and population of form fields in an electronic document |
US10326748B1 (en) | 2015-02-25 | 2019-06-18 | Quest Software Inc. | Systems and methods for event-based authentication |
US10417613B1 (en) * | 2015-03-17 | 2019-09-17 | Quest Software Inc. | Systems and methods of patternizing logged user-initiated events for scheduling functions |
US9990506B1 (en) | 2015-03-30 | 2018-06-05 | Quest Software Inc. | Systems and methods of securing network-accessible peripheral devices |
US9842218B1 (en) | 2015-04-10 | 2017-12-12 | Dell Software Inc. | Systems and methods of secure self-service access to content |
US9842220B1 (en) | 2015-04-10 | 2017-12-12 | Dell Software Inc. | Systems and methods of secure self-service access to content |
US20160335239A1 (en) * | 2015-05-13 | 2016-11-17 | Union Pacific Railroad Company | Intelligent system and method of completing a form using a device |
US10733371B1 (en) | 2015-06-02 | 2020-08-04 | Steelcase Inc. | Template based content preparation system for use with a plurality of space types |
US10210484B2 (en) | 2015-06-05 | 2019-02-19 | International Business Machines Corporation | Altering a functional characteristic of a computer used by an invitee to a meeting |
US10091253B2 (en) | 2015-06-22 | 2018-10-02 | Microsoft Technology Licensing, Llc | Automatic equipment configuration for meetings |
US10235129B1 (en) | 2015-06-29 | 2019-03-19 | Amazon Technologies, Inc. | Joining users to communications via voice commands |
US10198252B2 (en) | 2015-07-02 | 2019-02-05 | Microsoft Technology Licensing, Llc | Transformation chain application splitting |
US9785484B2 (en) | 2015-07-02 | 2017-10-10 | Microsoft Technology Licensing, Llc | Distributed application interfacing across different hardware |
US9860145B2 (en) | 2015-07-02 | 2018-01-02 | Microsoft Technology Licensing, Llc | Recording of inter-application data flow |
US10261985B2 (en) | 2015-07-02 | 2019-04-16 | Microsoft Technology Licensing, Llc | Output rendering in dynamic redefining application |
US9733993B2 (en) | 2015-07-02 | 2017-08-15 | Microsoft Technology Licensing, Llc | Application sharing using endpoint interface entities |
US9712472B2 (en) * | 2015-07-02 | 2017-07-18 | Microsoft Technology Licensing, Llc | Application spawning responsive to communication |
US9658836B2 (en) | 2015-07-02 | 2017-05-23 | Microsoft Technology Licensing, Llc | Automated generation of transformation chain compatible class |
US9733915B2 (en) | 2015-07-02 | 2017-08-15 | Microsoft Technology Licensing, Llc | Building of compound application chain applications |
US10031724B2 (en) | 2015-07-08 | 2018-07-24 | Microsoft Technology Licensing, Llc | Application operation responsive to object spatial status |
US10198405B2 (en) | 2015-07-08 | 2019-02-05 | Microsoft Technology Licensing, Llc | Rule-based layout of changing information |
US10536352B1 (en) | 2015-08-05 | 2020-01-14 | Quest Software Inc. | Systems and methods for tuning cross-platform data collection |
US20170061385A1 (en) * | 2015-08-24 | 2017-03-02 | International Business Machines Corporation | Efficiency of scheduling of a meeting time |
US10277582B2 (en) | 2015-08-27 | 2019-04-30 | Microsoft Technology Licensing, Llc | Application service architecture |
US11188878B2 (en) * | 2015-09-22 | 2021-11-30 | International Business Machines Corporation | Meeting room reservation system |
US10510026B1 (en) * | 2015-10-03 | 2019-12-17 | WeWork Companies Inc. | Electronic calendaring system and method determining redundant meeting invitees based on a meeting composition score |
US10157358B1 (en) | 2015-10-05 | 2018-12-18 | Quest Software Inc. | Systems and methods for multi-stream performance patternization and interval-based prediction |
US10218588B1 (en) | 2015-10-05 | 2019-02-26 | Quest Software Inc. | Systems and methods for multi-stream performance patternization and optimization of virtual meetings |
GB2544519A (en) * | 2015-11-19 | 2017-05-24 | Starleaf Ltd | A system for a telecommunication network |
US10432678B2 (en) | 2016-01-04 | 2019-10-01 | Cisco Technology, Inc. | Multiparty real-time communications support over information-centric networking |
US10002607B2 (en) * | 2016-01-05 | 2018-06-19 | Microsoft Technology Licensing, Llc | Cross device companion application for phone |
US10949066B2 (en) * | 2016-02-01 | 2021-03-16 | Microsoft Technology Licensing, Llc | Recall service for productivity applications |
US10796235B2 (en) * | 2016-03-25 | 2020-10-06 | Uptake Technologies, Inc. | Computer systems and methods for providing a visualization of asset event and signal data |
US10142391B1 (en) | 2016-03-25 | 2018-11-27 | Quest Software Inc. | Systems and methods of diagnosing down-layer performance problems via multi-stream performance patternization |
US11089132B2 (en) | 2016-03-29 | 2021-08-10 | Microsoft Technology Licensing, Llc | Extensibility for context-aware digital personal assistant |
US11030542B2 (en) | 2016-04-29 | 2021-06-08 | Microsoft Technology Licensing, Llc | Contextually-aware selection of event forums |
US11290428B2 (en) * | 2016-05-18 | 2022-03-29 | Cabanawire Inc. | Telecommunication method and system for simplifying communication such as conference calls |
US9921726B1 (en) | 2016-06-03 | 2018-03-20 | Steelcase Inc. | Smart workstation method and system |
US10771549B2 (en) | 2016-06-15 | 2020-09-08 | Microsoft Technology Licensing, Llc | Correlating a file hosted at a file hosting server with a meeting object |
CN105939424B (en) * | 2016-06-23 | 2019-12-27 | 北京小米移动软件有限公司 | Application switching method and device |
US20180007096A1 (en) * | 2016-06-30 | 2018-01-04 | Microsoft Technology Licensing, Llc | Weighted data center reselection |
US10410107B2 (en) * | 2016-07-26 | 2019-09-10 | Salesforce.Com, Inc. | Natural language platform for database system |
EP3491813B1 (en) * | 2016-08-01 | 2022-02-09 | Youmail, Inc | System and method for facilitating setup and joining of conference calls |
US20180039951A1 (en) * | 2016-08-03 | 2018-02-08 | Google Inc. | Computer-assisted agendas for videoconferences |
US10298634B2 (en) | 2016-08-28 | 2019-05-21 | Microsoft Technology Licensing, Llc | Join feature restoration to online meeting |
US10938587B2 (en) | 2016-11-28 | 2021-03-02 | Cisco Technology, Inc. | Predicting utilization of a shared collaboration resource |
US11169660B2 (en) | 2016-12-14 | 2021-11-09 | Microsoft Technology Licensing, Llc | Personalized adaptive task framework for user life events |
US10264213B1 (en) | 2016-12-15 | 2019-04-16 | Steelcase Inc. | Content amplification system and method |
CN108347337B (en) * | 2017-01-23 | 2022-03-01 | 腾讯科技(深圳)有限公司 | Conference communication method and device |
US10796697B2 (en) * | 2017-01-31 | 2020-10-06 | Microsoft Technology Licensing, Llc | Associating meetings with projects using characteristic keywords |
CN106896991B (en) * | 2017-02-21 | 2020-02-28 | 北京小米移动软件有限公司 | Method and device for updating information |
US10445410B2 (en) | 2017-03-03 | 2019-10-15 | Cisco Technology, Inc. | Auto convert meeting link to join button in chat |
US10977236B2 (en) * | 2017-04-03 | 2021-04-13 | Salesforce.Com, Inc. | Dynamic recommendation methods and systems for database changes |
US10033873B1 (en) * | 2017-04-12 | 2018-07-24 | T-Moble USA, Inc. | One-click conference calling |
US11521178B2 (en) * | 2017-05-04 | 2022-12-06 | Autodesk, Inc. | Techniques for crowdsourcing and dynamically updating computer-aided schedules |
US10681218B2 (en) * | 2017-05-13 | 2020-06-09 | Cabanawire Inc. | Telecommunication method and system for simplifying communication such as conference calls |
US11151518B2 (en) * | 2017-06-07 | 2021-10-19 | Microsoft Technology Licensing, Llc | Natural language event |
US10298593B2 (en) * | 2017-06-13 | 2019-05-21 | Live Nation Entertainment, Inc. | Systems and methods for big-data resource management |
US10978073B1 (en) | 2017-07-09 | 2021-04-13 | Otter.ai, Inc. | Systems and methods for processing and presenting conversations |
US11024316B1 (en) | 2017-07-09 | 2021-06-01 | Otter.ai, Inc. | Systems and methods for capturing, processing, and rendering one or more context-aware moment-associating elements |
US10306071B1 (en) * | 2017-09-15 | 2019-05-28 | Fuze, Inc. | Providing a unified communication history of a multi-modal communication |
US11038703B2 (en) * | 2017-12-22 | 2021-06-15 | International Business Machines Corporation | Incorporating contextual information in a conferencing system |
US11138568B2 (en) * | 2018-01-29 | 2021-10-05 | Microsoft Technology Licensing, Llc | Calendar-aware resource retrieval |
US11238414B2 (en) | 2018-02-28 | 2022-02-01 | Dropbox, Inc. | Generating digital associations between documents and digital calendar events based on content connections |
US11200282B1 (en) * | 2018-03-22 | 2021-12-14 | Atlassian Pty Ltd. | Integrated views of multiple different computer program applications with action options |
US20190392395A1 (en) * | 2018-06-21 | 2019-12-26 | Microsoft Technology Licensing, Llc | Worry-free meeting conferencing |
US10735258B2 (en) * | 2018-07-24 | 2020-08-04 | Avaya Inc. | System for self-allocating resources |
US10922660B2 (en) * | 2018-08-03 | 2021-02-16 | International Business Machines Corporation | Intelligent sending of an automatic event invite based on identified candidate content |
US11153109B2 (en) * | 2018-08-13 | 2021-10-19 | International Business Machines Corporation | Intelligent teleconference operations in an internet of things (IoT) computing environment |
US11057231B2 (en) | 2018-08-28 | 2021-07-06 | International Business Machines Corporation | Prescriptive meeting resource recommendation engine using calendar invite content |
US20200112450A1 (en) * | 2018-10-05 | 2020-04-09 | Microsoft Technology Licensing, Llc | System and method for automatically connecting to a conference |
US11972201B2 (en) | 2018-10-05 | 2024-04-30 | Adobe Inc. | Facilitating auto-completion of electronic forms with hierarchical entity data models |
US11423911B1 (en) | 2018-10-17 | 2022-08-23 | Otter.ai, Inc. | Systems and methods for live broadcasting of context-aware transcription and/or other elements related to conversations and/or speeches |
US11159595B2 (en) * | 2019-02-20 | 2021-10-26 | Sony Interactive Entertainment LLC | Contextual layer for digital content |
US10802849B1 (en) | 2019-06-14 | 2020-10-13 | International Business Machines Corporation | GUI-implemented cognitive task forecasting |
US11652656B2 (en) | 2019-06-26 | 2023-05-16 | International Business Machines Corporation | Web conference replay association upon meeting completion |
CN110225294B (en) * | 2019-07-08 | 2021-01-26 | 四川长虹电子***有限公司 | Automatic video conference scheduling system |
US11537997B2 (en) * | 2019-07-18 | 2022-12-27 | Microsoft Technology Licensing, Llc | Providing task assistance to a user |
US20210233097A1 (en) * | 2020-01-20 | 2021-07-29 | TapText llc | System and method for text-based delivery of sales promotions |
US11153111B1 (en) | 2020-10-28 | 2021-10-19 | International Business Machines Corporation | Renaming of web conference emails based on corresponding calendar entries |
WO2022046231A1 (en) * | 2020-08-31 | 2022-03-03 | Arris Enterprises Llc | Providing transfer and configuration of web conferencing between consumer devices |
US11755340B2 (en) * | 2020-10-07 | 2023-09-12 | Microsoft Technology Licensing, Llc | Automatic enrollment and intelligent assignment of settings |
CN112578690B (en) * | 2020-12-18 | 2022-07-01 | 山东盛帆蓝海电气有限公司 | Intelligent building energy consumption management and control system and method |
US11477042B2 (en) * | 2021-02-19 | 2022-10-18 | International Business Machines Corporation | Ai (artificial intelligence) aware scrum tracking and optimization |
US11676623B1 (en) * | 2021-02-26 | 2023-06-13 | Otter.ai, Inc. | Systems and methods for automatic joining as a virtual meeting participant for transcription |
US11757669B1 (en) * | 2021-03-25 | 2023-09-12 | Daommo, Inc. | Asynchronous dynamic generation of meeting agendas based on content discussions and expert assessment |
WO2022217518A1 (en) * | 2021-04-14 | 2022-10-20 | Zoom Video Communications, Inc. | Systems and methods for event recommendation |
US20220353309A1 (en) * | 2021-04-29 | 2022-11-03 | Plantronics, Inc. | Conference system content sharing |
US11689836B2 (en) | 2021-05-28 | 2023-06-27 | Plantronics, Inc. | Earloop microphone |
US20230412410A1 (en) * | 2022-06-20 | 2023-12-21 | International Business Machines Corporation | Artificial intelligence supporting content delivery |
US11842038B1 (en) | 2022-12-31 | 2023-12-12 | International Business Machines Corporation | Hidden information sharing in virtual meetings |
Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020091769A1 (en) * | 2001-01-11 | 2002-07-11 | Drozdzewicz Piotr Jozef | Conferencing method |
US20020136382A1 (en) * | 2001-03-22 | 2002-09-26 | Alon Cohen | System and method for providing simplified conferencing |
US6633868B1 (en) * | 2000-07-28 | 2003-10-14 | Shermann Loyall Min | System and method for context-based document retrieval |
US20060004725A1 (en) * | 2004-06-08 | 2006-01-05 | Abraido-Fandino Leonor M | Automatic generation of a search engine for a structured document |
US7010115B2 (en) * | 2001-12-13 | 2006-03-07 | Rockwell Electronic Commerce Technologies, Llc | System and method for predictive contacts |
US20070005409A1 (en) * | 2005-06-30 | 2007-01-04 | International Business Machines Corporation | Method and structure for overriding calendar entries based on context and business value |
US20070033251A1 (en) * | 2005-08-05 | 2007-02-08 | International Business Machines Corporation | Automatic scheduling and establishment of conferences |
US20070260597A1 (en) * | 2006-05-02 | 2007-11-08 | Mark Cramer | Dynamic search engine results employing user behavior |
US20080244656A1 (en) * | 2007-01-31 | 2008-10-02 | Sony Corporation | Information processing apparatus and method, and program |
US7499535B1 (en) * | 2008-02-13 | 2009-03-03 | International Business Machines Corporation | Method to automatically connect a meeting room phone to a conference call |
US7685144B1 (en) * | 2005-12-29 | 2010-03-23 | Google Inc. | Dynamically autocompleting a data entry |
US20110004609A1 (en) * | 2009-07-02 | 2011-01-06 | International Business Machines, Corporation | Generating search results based on user feedback |
US20110022976A1 (en) * | 2007-06-21 | 2011-01-27 | Cadexterity, Inc. | dynamic user interface system |
US20110022967A1 (en) * | 2009-07-21 | 2011-01-27 | Cisco Technology, Inc. | Context Enhanced Social Network for Meeting Participants |
US8095432B1 (en) * | 2009-01-30 | 2012-01-10 | Intuit Inc. | Recommendation engine for social networks |
Family Cites Families (75)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US663868A (en) * | 1899-01-03 | 1900-12-18 | Francis Charles Crean | Treatment of wood-pulp. |
US6141339A (en) * | 1997-04-04 | 2000-10-31 | Sprint Communications Company, L.P. | Telecommunications system |
US6463463B1 (en) * | 1998-05-29 | 2002-10-08 | Research In Motion Limited | System and method for pushing calendar event messages from a host system to a mobile data communication device |
US6101480A (en) * | 1998-06-19 | 2000-08-08 | International Business Machines | Electronic calendar with group scheduling and automated scheduling techniques for coordinating conflicting schedules |
US7007235B1 (en) * | 1999-04-02 | 2006-02-28 | Massachusetts Institute Of Technology | Collaborative agent interaction control and synchronization system |
US6798753B1 (en) * | 1999-10-14 | 2004-09-28 | International Business Machines Corporation | Automatically establishing conferences from desktop applications over the Internet |
US6813603B1 (en) * | 2000-01-26 | 2004-11-02 | Korteam International, Inc. | System and method for user controlled insertion of standardized text in user selected fields while dictating text entries for completing a form |
US6603489B1 (en) * | 2000-02-09 | 2003-08-05 | International Business Machines Corporation | Electronic calendaring system that automatically predicts calendar entries based upon previous activities |
WO2001065381A1 (en) * | 2000-02-29 | 2001-09-07 | Boyd John E | A computer-based networking service and method and system for performing the same |
AU2001296932A1 (en) * | 2000-09-28 | 2002-04-08 | Accessline Communications Corporation | User configurable system for handling incoming calls to users having multiple destinations adresses |
US7233933B2 (en) * | 2001-06-28 | 2007-06-19 | Microsoft Corporation | Methods and architecture for cross-device activity monitoring, reasoning, and visualization for providing status and forecasts of a users' presence and availability |
US7644144B1 (en) * | 2001-12-21 | 2010-01-05 | Microsoft Corporation | Methods, tools, and interfaces for the dynamic assignment of people to groups to enable enhanced communication and collaboration |
US20030154249A1 (en) * | 2002-02-14 | 2003-08-14 | Crockett Douglas M. | Method and an apparatus for removing a member from an active group call in a group communication network |
US7836403B2 (en) * | 2002-06-27 | 2010-11-16 | Siebel Systems, Inc. | Persistent dashboard for user interface |
US7318040B2 (en) * | 2002-09-17 | 2008-01-08 | International Business Machines Corporation | Predicting and adjusting users' working hours and electronic calendar events |
US20040059785A1 (en) * | 2002-09-23 | 2004-03-25 | Blume Leo R. | System and method for creating and managing persistent group representation for meetings |
US20040078436A1 (en) * | 2002-10-18 | 2004-04-22 | International Business Machines Corporation | Adding meeting information to a meeting notice |
JP4321203B2 (en) * | 2002-10-29 | 2009-08-26 | 富士ゼロックス株式会社 | Remote conference system, remote conference support method, and computer program |
US8028073B2 (en) * | 2003-06-25 | 2011-09-27 | Oracle International Corporation | Mobile meeting and collaboration |
US7402398B2 (en) * | 2003-07-17 | 2008-07-22 | Monogram Biosciences, Inc. | Measuring receptor homodimerization |
US8566438B2 (en) * | 2003-12-01 | 2013-10-22 | International Business Machines Corporation | Communication tagging |
US20050119927A1 (en) * | 2003-12-02 | 2005-06-02 | International Business Machines Corporation | Accounting for traveling time within scheduling software |
US7693272B2 (en) * | 2003-12-10 | 2010-04-06 | Sap Aktiengesellschaft | Providing a file relating to a telephone call |
US7383308B1 (en) * | 2004-02-11 | 2008-06-03 | Aol Llc, A Delaware Limited Liability Company | Buddy list-based sharing of electronic content |
US20050227680A1 (en) * | 2004-04-12 | 2005-10-13 | Sony Ericsson Mobile Communications Ab | Mobile phone auto-dial mechanism for conference calls |
US7558799B2 (en) * | 2004-06-01 | 2009-07-07 | Microsoft Corporation | Method, system, and apparatus for discovering and connecting to data sources |
FI116551B (en) * | 2004-06-14 | 2005-12-15 | Nokia Corp | Processing of event data on a communication device |
US7881708B2 (en) * | 2004-12-27 | 2011-02-01 | Nokia Corporation | Mobile terminal, and an associated method, with means for modifying a behavior pattern of a multi-medial user interface |
US8180663B2 (en) * | 2005-06-28 | 2012-05-15 | Microsoft Corporation | Facilitating automated meeting scheduling |
US20070016661A1 (en) * | 2005-07-12 | 2007-01-18 | Malik Dale W | Event organizer |
US20070021997A1 (en) * | 2005-07-21 | 2007-01-25 | International Business Machines Corporation | System and method for efficient optimization of meeting time selection |
EP1938633A4 (en) * | 2005-09-26 | 2009-05-06 | Research In Motion Ltd | Communications event scheduler |
US20070112881A1 (en) * | 2005-11-15 | 2007-05-17 | International Business Machines Corporation | Meeting invitation and group distribution list synchronization |
US8170192B2 (en) * | 2006-01-06 | 2012-05-01 | International Business Machines Corporation | Personalized conference call system and method |
GB0601548D0 (en) * | 2006-01-26 | 2006-03-08 | Ibm | Method and system for rotating roles in calendar events |
US20080221989A1 (en) * | 2007-03-09 | 2008-09-11 | Samsung Electronics Co., Ltd. | Method and system for providing sponsored content on an electronic device |
US7503007B2 (en) * | 2006-05-16 | 2009-03-10 | International Business Machines Corporation | Context enhanced messaging and collaboration system |
US20080005108A1 (en) * | 2006-06-28 | 2008-01-03 | Microsoft Corporation | Message mining to enhance ranking of documents for retrieval |
US7707256B2 (en) * | 2006-11-14 | 2010-04-27 | Microsoft Corporation | Suggesting meeting locations for conducting meetings |
JP2008129821A (en) * | 2006-11-20 | 2008-06-05 | Canon Inc | Retrieval system, and method of displaying retrieved result in the retieval system |
US20080133282A1 (en) * | 2006-12-04 | 2008-06-05 | Landar Sergei R | Meeting resource scheduling based upon attendee participation types |
US7730411B2 (en) * | 2007-02-01 | 2010-06-01 | Cisco Technology, Inc. | Re-creating meeting context |
US8275107B2 (en) * | 2007-03-14 | 2012-09-25 | Microsoft Corporation | Techniques for managing a multimedia conference call |
US20080226050A1 (en) * | 2007-03-16 | 2008-09-18 | Nokia Corporation | System and method for establishing conference events |
US8484745B2 (en) * | 2007-05-21 | 2013-07-09 | International Business Machines Corporation | Electronic calendar collaboration |
US20080294482A1 (en) * | 2007-05-25 | 2008-11-27 | International Business Machines Corporation | Personalized Electronic Meeting Invitations |
US20080300944A1 (en) * | 2007-05-31 | 2008-12-04 | Cisco Technology, Inc. | Relevant invitee list for conference system |
US8645182B2 (en) * | 2007-10-02 | 2014-02-04 | International Business Machines Corporation | Integrated calendar and task scheduler |
US7966566B2 (en) * | 2007-11-12 | 2011-06-21 | Sap Ag | Systems and methods to create follow-up meetings |
US8185398B2 (en) * | 2007-12-31 | 2012-05-22 | Intel-Ge Care Innovations Llc | Reading device with shortcut read function |
JP4433057B2 (en) * | 2008-01-30 | 2010-03-17 | ソニー株式会社 | Client device, server device, meeting setting system, and meeting setting method |
US20090210351A1 (en) * | 2008-02-15 | 2009-08-20 | Bush Christopher L | System and Method for Minimizing Redundant Meetings |
US9824333B2 (en) * | 2008-02-29 | 2017-11-21 | Microsoft Technology Licensing, Llc | Collaborative management of activities occurring during the lifecycle of a meeting |
US20090222519A1 (en) * | 2008-03-03 | 2009-09-03 | John Boyd | Computer-based methods for arranging meetings and systems for performing the same |
US20090259718A1 (en) * | 2008-04-09 | 2009-10-15 | International Business Machines Corporation | Collaborative accountability in meeting workflow |
US20090265203A1 (en) * | 2008-04-17 | 2009-10-22 | Marcus Jane B | User prioritized search engine for automated meeting scheduling |
US20090307045A1 (en) * | 2008-06-10 | 2009-12-10 | International Business Machines Corporation | System and method for optimization of meetings based on subject/participant relationships |
US20090313075A1 (en) * | 2008-06-12 | 2009-12-17 | O'sullivan Patrick Joseph | System and method for adaptive scheduling |
US20100037151A1 (en) * | 2008-08-08 | 2010-02-11 | Ginger Ackerman | Multi-media conferencing system |
US8417551B2 (en) * | 2008-10-07 | 2013-04-09 | International Business Machines Corporation | Scheduling sessions of multi-speaker events |
US8693660B2 (en) | 2008-10-16 | 2014-04-08 | Plantronics, Inc. | Auto-dial and connection into conference calls |
EP3330252B1 (en) * | 2008-11-11 | 2020-02-12 | Signum Biosciences, Inc. | Isoprenyl compounds and methods thereof |
US8204197B2 (en) * | 2009-02-27 | 2012-06-19 | Research In Motion Limited | Method and system for conference call scheduling via e-mail |
US20100223638A1 (en) * | 2009-02-27 | 2010-09-02 | Hubbard Robert B | System and method for optimizing the scheduling of multimedia content |
US20100235446A1 (en) * | 2009-03-16 | 2010-09-16 | Microsoft Corporation | Techniques to make meetings discoverable |
US8537980B2 (en) * | 2009-03-27 | 2013-09-17 | Verizon Patent And Licensing Inc. | Conversation support |
US9111263B2 (en) * | 2009-06-15 | 2015-08-18 | Microsoft Technology Licensing, Llc | Adaptive meeting management |
US20110014952A1 (en) * | 2009-07-15 | 2011-01-20 | Sony Ericsson Mobile Communications Ab | Audio recognition during voice sessions to provide enhanced user interface functionality |
US8903940B2 (en) * | 2009-09-10 | 2014-12-02 | Tribal Technologies, Inc. | System and method for intelligently distributing content to a mobile device based on a detected location of the mobile device and context data defining characteristics of the location at a particular date and time |
US8214748B2 (en) * | 2009-09-22 | 2012-07-03 | International Business Machines Corporation | Meeting agenda management |
US8296266B2 (en) * | 2009-12-04 | 2012-10-23 | Sap Ag | Computer implemented method for integrating services in a calendar application via web services |
US20110154221A1 (en) * | 2009-12-22 | 2011-06-23 | International Business Machines Corporation | Subject suggestion based on e-mail recipients |
US8346590B2 (en) * | 2010-01-27 | 2013-01-01 | Google Inc. | Automatically schedule and re-schedule meetings through search interface |
US20110182415A1 (en) * | 2010-01-28 | 2011-07-28 | Jacobstein Mark Williams | Methods and apparatus for providing call conferencing services |
US20110252097A1 (en) * | 2010-04-12 | 2011-10-13 | David Ryan Walker | Predicting meeting attendance |
-
2010
- 2010-10-01 US US12/896,674 patent/US8483375B2/en active Active
- 2010-10-01 US US12/896,649 patent/US20110231396A1/en not_active Abandoned
- 2010-10-01 US US12/896,666 patent/US20110231773A1/en not_active Abandoned
-
2011
- 2011-03-15 DE DE102011014130.8A patent/DE102011014130B4/en active Active
- 2011-03-16 US US13/049,067 patent/US8489615B2/en active Active
- 2011-03-17 GB GB1104508A patent/GB2479046A/en not_active Withdrawn
- 2011-03-17 DE DE102011014232A patent/DE102011014232A1/en not_active Ceased
- 2011-03-21 CN CN201110070467.XA patent/CN102193972B/en active Active
-
2013
- 2013-07-15 US US13/942,079 patent/US9143460B2/en active Active
-
2015
- 2015-09-17 US US14/856,667 patent/US20160005005A1/en not_active Abandoned
Patent Citations (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6633868B1 (en) * | 2000-07-28 | 2003-10-14 | Shermann Loyall Min | System and method for context-based document retrieval |
US20020091769A1 (en) * | 2001-01-11 | 2002-07-11 | Drozdzewicz Piotr Jozef | Conferencing method |
US20020136382A1 (en) * | 2001-03-22 | 2002-09-26 | Alon Cohen | System and method for providing simplified conferencing |
US7010115B2 (en) * | 2001-12-13 | 2006-03-07 | Rockwell Electronic Commerce Technologies, Llc | System and method for predictive contacts |
US20060004725A1 (en) * | 2004-06-08 | 2006-01-05 | Abraido-Fandino Leonor M | Automatic generation of a search engine for a structured document |
US20070005409A1 (en) * | 2005-06-30 | 2007-01-04 | International Business Machines Corporation | Method and structure for overriding calendar entries based on context and business value |
US20070033251A1 (en) * | 2005-08-05 | 2007-02-08 | International Business Machines Corporation | Automatic scheduling and establishment of conferences |
US7685144B1 (en) * | 2005-12-29 | 2010-03-23 | Google Inc. | Dynamically autocompleting a data entry |
US20070260597A1 (en) * | 2006-05-02 | 2007-11-08 | Mark Cramer | Dynamic search engine results employing user behavior |
US20080244656A1 (en) * | 2007-01-31 | 2008-10-02 | Sony Corporation | Information processing apparatus and method, and program |
US20110022976A1 (en) * | 2007-06-21 | 2011-01-27 | Cadexterity, Inc. | dynamic user interface system |
US7499535B1 (en) * | 2008-02-13 | 2009-03-03 | International Business Machines Corporation | Method to automatically connect a meeting room phone to a conference call |
US8095432B1 (en) * | 2009-01-30 | 2012-01-10 | Intuit Inc. | Recommendation engine for social networks |
US20110004609A1 (en) * | 2009-07-02 | 2011-01-06 | International Business Machines, Corporation | Generating search results based on user feedback |
US20110022967A1 (en) * | 2009-07-21 | 2011-01-27 | Cisco Technology, Inc. | Context Enhanced Social Network for Meeting Participants |
Cited By (63)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10958741B2 (en) | 2007-07-25 | 2021-03-23 | Verizon Media Inc. | Method and system for collecting and presenting historical communication data |
US10554769B2 (en) | 2007-07-25 | 2020-02-04 | Oath Inc. | Method and system for collecting and presenting historical communication data for a mobile device |
US10356193B2 (en) | 2007-07-25 | 2019-07-16 | Oath Inc. | Indexing and searching content behind links presented in a communication |
US11394679B2 (en) | 2007-07-25 | 2022-07-19 | Verizon Patent And Licensing Inc | Display of communication system usage statistics |
US11552916B2 (en) | 2007-07-25 | 2023-01-10 | Verizon Patent And Licensing Inc. | Indexing and searching content behind links presented in a communication |
US10623510B2 (en) | 2007-07-25 | 2020-04-14 | Oath Inc. | Display of person based information including person notes |
US11755995B2 (en) | 2009-07-08 | 2023-09-12 | Yahoo Assets Llc | Locally hosting a social network using social data stored on a user's computer |
US10685072B2 (en) * | 2010-06-02 | 2020-06-16 | Oath Inc. | Personalizing an online service based on data collected for a user of a computing device |
US10198482B2 (en) * | 2010-12-17 | 2019-02-05 | Facebook, Inc. | Ranking of address book contacts based on social proximity |
US20160299900A1 (en) * | 2010-12-17 | 2016-10-13 | Facebook, Inc. | Ranking of address book contacts based on social proximity |
US20120226704A1 (en) * | 2011-03-02 | 2012-09-06 | International Business Machines Corporation | Systems and methods for presenting electronic contact lists |
US9449103B2 (en) * | 2011-03-02 | 2016-09-20 | International Business Machines Corporation | Systems and methods for presenting electronic contact lists |
US9099092B2 (en) * | 2011-03-03 | 2015-08-04 | Nuance Communications, Inc. | Speaker and call characteristic sensitive open voice search |
US20150294669A1 (en) * | 2011-03-03 | 2015-10-15 | Nuance Communications, Inc. | Speaker and Call Characteristic Sensitive Open Voice Search |
US20140129220A1 (en) * | 2011-03-03 | 2014-05-08 | Shilei ZHANG | Speaker and call characteristic sensitive open voice search |
US10032454B2 (en) * | 2011-03-03 | 2018-07-24 | Nuance Communications, Inc. | Speaker and call characteristic sensitive open voice search |
US8630860B1 (en) * | 2011-03-03 | 2014-01-14 | Nuance Communications, Inc. | Speaker and call characteristic sensitive open voice search |
US9578602B1 (en) * | 2011-03-15 | 2017-02-21 | Google Inc. | Device aware social graphs |
US9230241B1 (en) | 2011-06-16 | 2016-01-05 | Google Inc. | Initiating a communication session based on an associated content item |
US9866597B2 (en) | 2011-06-16 | 2018-01-09 | Google Llc | Ambient communication session |
US10250648B2 (en) | 2011-06-16 | 2019-04-02 | Google Llc | Ambient communication session |
US10554696B2 (en) | 2011-06-16 | 2020-02-04 | Google Llc | Initiating a communication session based on an associated content item |
US9800622B2 (en) | 2011-06-16 | 2017-10-24 | Google Inc. | Virtual socializing |
US9094476B1 (en) | 2011-06-16 | 2015-07-28 | Google Inc. | Ambient communication session |
US11232409B2 (en) | 2011-06-30 | 2022-01-25 | Verizon Media Inc. | Presenting entity profile information to a user of a computing device |
US9020965B1 (en) * | 2011-09-29 | 2015-04-28 | Google Inc. | Social networking relationship ranking and decay |
US20130124535A1 (en) * | 2011-11-16 | 2013-05-16 | Electronics And Telecommunications Research Institute | Apparatus and method for calculating intimacy |
US20130212171A1 (en) * | 2012-02-10 | 2013-08-15 | Bank Of America | Systems and methods for selective routing of remote client contact(s) |
US10769221B1 (en) | 2012-08-20 | 2020-09-08 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US11908001B2 (en) | 2012-08-20 | 2024-02-20 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US20140081693A1 (en) * | 2012-09-18 | 2014-03-20 | International Business Machines Corporation | System and method configured to automatically invite participants to a meeting based on relation to meeting materials |
US20140082000A1 (en) * | 2012-09-18 | 2014-03-20 | International Business Machines Corporation | System and method configured to automatically invite participants to a meeting based on relation to meeting materials |
US9609493B2 (en) * | 2012-10-16 | 2017-03-28 | 247Meeting (Ireland) Limited | Smartphone conferencing system and method of operating same |
US20150281925A1 (en) * | 2012-10-16 | 2015-10-01 | Snaptalk Limited | Smartphone conferencing system and method of operating same |
US10187490B2 (en) | 2012-11-20 | 2019-01-22 | International Business Machines Corporation | Discovering signature of electronic social networks |
US10965775B2 (en) * | 2012-11-20 | 2021-03-30 | Airbnb, Inc. | Discovering signature of electronic social networks |
US20140143329A1 (en) * | 2012-11-20 | 2014-05-22 | International Business Machines Corporation | Discovering signature of electronic social networks |
US11659050B2 (en) | 2012-11-20 | 2023-05-23 | Airbnb, Inc. | Discovering signature of electronic social networks |
US11070643B2 (en) | 2012-11-20 | 2021-07-20 | Airbnb, Inc. | Discovering signature of electronic social networks |
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 |
US9185236B2 (en) * | 2013-03-27 | 2015-11-10 | Electronics And Telecommunications Research Institute | Method and apparatus for visualizing record data |
US20140295787A1 (en) * | 2013-03-27 | 2014-10-02 | Electronics And Telecommunications Research Institute | Method and apparatus for visualizing record data |
US9477371B2 (en) | 2013-06-18 | 2016-10-25 | Avaya Inc. | Meeting roster awareness |
US11175808B2 (en) | 2013-07-23 | 2021-11-16 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate matching of clients in a networked environment |
US11747971B2 (en) | 2013-07-23 | 2023-09-05 | 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 |
US11546433B2 (en) | 2013-12-04 | 2023-01-03 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate automatic detection and removal of fraudulent user information in a network environment |
US10277710B2 (en) | 2013-12-04 | 2019-04-30 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate automatic detection and removal of fraudulent user information in a network environment |
US10637959B2 (en) | 2013-12-04 | 2020-04-28 | Plentyoffish Media Ulc | Apparatus, method and article to facilitate automatic detection and removal of fraudulent user information in a network environment |
US11949747B2 (en) | 2013-12-04 | 2024-04-02 | 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 |
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 |
US10616409B2 (en) * | 2014-06-17 | 2020-04-07 | Lenovo (Singapore) Pte Ltd | Sharing device availability |
US10341458B2 (en) * | 2014-06-30 | 2019-07-02 | EMC IP Holding Company LLC | Predicting a sub-set of resources to be migrated to a new location based on a mobile device's interactions with resources at a first location and a predicted period of time the mobile device is to be in the new location |
US20150381525A1 (en) * | 2014-06-30 | 2015-12-31 | Emc Corporation | Application and information movement in a cloud environment |
US9858625B2 (en) | 2015-04-28 | 2018-01-02 | International Business Machines Corporation | Leveraging skipped relationships in a social network |
US20190141176A1 (en) * | 2016-05-10 | 2019-05-09 | Christophe Bernard | Method for aiding the issuing of an interactive communication request, server, terminals and programs for the implementation of the method |
US11436566B2 (en) * | 2016-07-29 | 2022-09-06 | Microsoft Technology Licensing, Llc | Techniques for presenting a contextual contact list |
US20180032961A1 (en) * | 2016-07-29 | 2018-02-01 | Linkedln Corporation | Techniques for presenting a contextual contact list |
US11068511B2 (en) * | 2018-03-27 | 2021-07-20 | International Business Machines Corporation | Aggregate relationship graph |
US11218377B2 (en) | 2019-09-20 | 2022-01-04 | Lenovo (Singapore) Pte. Ltd. | Prediction of loss of network connection and caching of content |
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DE102011014130B4 (en) | 2016-10-06 |
US8483375B2 (en) | 2013-07-09 |
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DE102011014232A1 (en) | 2011-11-10 |
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CN102193972A (en) | 2011-09-21 |
US20110228922A1 (en) | 2011-09-22 |
CN102193972B (en) | 2014-09-03 |
US20110231773A1 (en) | 2011-09-22 |
DE102011014130A1 (en) | 2011-10-27 |
US20160005005A1 (en) | 2016-01-07 |
GB201104508D0 (en) | 2011-05-04 |
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