Avaya Inc.

Xiaotao Wu

Venkatesh Krishnaswamy

John F Buford

Krishna Kishore Dhara

Mehmet Balasaygun

Eunsoo Shim

Mario Kolberg

Rajeshwari Edamadaka

Ratan Bajpai

Vikranth Babu Tirumalachetty

Disclosed herein are systems, methods, and computer-readable storage media for authorizing third-party profile data sharing. The system receives a request to a request to share profile data held by a first person with a second person, wherein the profile data is of a third person. The system then generates a common context value based on an association between at least two of the first person, the second person, and the third person, wherein the common context value indicates how strongly the third person is connected to the first person and/or the second person. When the common context value is above a threshold, the system permits the first person to share the profile data of the third person with the second person.

System and method for authorizing third party profile data sharing

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for generating a context-based rich communication log. A system configured to practice the method performs a context-based analysis of a history of communication sessions over at least two communication modalities, wherein the context-based analysis considers semantic meaning, temporal relationship, and user activities. The system generates associations between the communication sessions based on the context-based analysis, and generates the context-based rich communication log based on the associations. The context-based analysis can be based on time, session participant identifications, ongoing events, and/or on-demand queries of the communication sessions. The system can then present the context-based rich communication log to a user. The context-based rich communication log can be used as part of at least one of a predictive contacts application, a topic analyzer, a conferencing application, and a personal communication assistant, for example.

System and method for a context-based rich communication log

A method is provided for the use of a signaling protocol stack by telephony applications which run on different system software images. When a telecommunications session is conducted by a first telephony application, the first telephony application typically controls the state of the telecommunications session through a signaling protocol stack executing on the same system software image as the first telephony application. When control over the telecommunications session is passed from the first telephony application to a second telephony application, the second telephony applications begins controlling the state of the telecommunications session through the same signaling protocol stack by using remote procedure calls.

Method for telephony client synchronization in telephone virtualization

A method for synchronizing telephony applications running on different system software images is provided. When a telecommunications session is conducted by a first telephony application, the first telephony application controls the state of the telecommunications session through a signaling protocol stack executing on the same system software image as the first telephony application (or on a virtualization layer). The present invention allows the sharing of the signaling protocol stack by multiple telephony applications running on different system software images.

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for predicting the subject, logistics, and resources of associated with a communication event. Predictions and suggestions can occur prior to, during, or in response to communication events. The user can confirm the prediction or suggestion via user input such as a click or a voice command. The system can analyze past behavior patterns with respect to the subject, logistics and resources of communication events, followed by preparing ranked listings of which subjects, logistics, and resources are most likely to be used in a given situation. The predicted logistics may then include people to invite, time and date of the meeting, its duration, location, and anything else useful in helping potential participants gather together. The resources may include files attached, files used, communication event minutes, recordings made, Internet browsers and other programs which may be utilized by the user.

System and method for predicting meeting subjects, logistics, and resources

A method is provided in which a first telecommunications terminal receives an indication of a characteristic of a first system software that is executing on a second telecommunications terminal. The first terminal identifies a second system software that possesses the characteristic. Then, the first terminal launches an instance of the second system software.

Method for telecommunications device synchronization

A method is provided for detecting interactions between call-related and web-enabled features. In some embodiments, communication application components are configured to transmit an indication to a feature interaction detector every time a feature is invoked by the user. When the interaction detector receives an indication that a feature is being invoked, it compares the invoked feature against features that have previously been invoked (or executed) and determines whether the invoked feature interacts with any of the features that have been previously executed.

Interaction detection between web-enabled and call-related features

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for forming communication threads. A system configured to practice the method receives a first log of first communications in a first modality and receives a second log of second communications in a second modality. Then, the system analyzes the first log and the second log to determine relationships between the first communications and the second communications. The system identifies, based on the relationships, sets of communications having a relationship strength above a threshold, and can form communication threads based on the sets of communications. The system can form communication threads by adding a meta-data tag to a communication unit. Example modalities include short message service (SMS), text, instant messages, phone calls, video calls, emails, events, social networking, and voicemail. The system can further rank the importance of communications threads based on user actions, to yield an importance value.

System and method for advanced communication thread analysis

Techniques for detecting and resolving feature interactions during calls are disclosed. In particular, a finite-state machine and a corresponding method detect when a feature that is invoked during a call would interact with another previously-activated feature, and ensure that both features are not active simultaneously. Three different techniques for resolution are disclosed: in one technique, activation of the latter feature is always refused; in a second technique, the former feature is always deactivated and the latter feature is then activated; and in a third technique, one of the two features is selected to be the active feature&#x2014;perhaps based on priorities assigned to the features&#x2014;and the features are activated and/or deactivated accordingly.

Mid-call detection and resolution of feature interactions

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for identifying document topics. A system configured to practice the method receives a document from a corpus of documents, learns interpersonal relationships of users associated with the document, performs a lexical analysis of the document, and, based on the interpersonal relationships of the users and the lexical analysis, identifying a topic for the document. The approaches disclosed herein can integrate user-people relationships to identify topics for documents with low lexical or high contextual content. The system can learn this user-people relationship from context. The system uses this learned behavior to identify communication documents correctly. Another aspect is the separation of the two phases. The system overlays the learned model on the lexical topic analysis, allowing the system to capture user-defined topics and user behavior that is learned from other factors such as medium (calls, events, etc) or user preferences.

System and method for classifying communications that have low lexical content and/or high contextual content into groups using topics

A method for determining the privacy settings for location-based services without some of the disadvantages of the prior art is disclosed. This is done by establishing a session between the location generator and the location recipient. The session is created by a validator that is capable of keeping track of the rules for a stream of location objects created by a location generator. The validator determines what information to send to the location recipient without having to determine the rules for each location object and each location recipient every time a new location object is received by the location server.

Location privacy enforcement in a location-based services platform

A method is presented for the automatic selection of the active software environment of a telecommunications terminal. In accordance with one embodiment of the present invention, the active software environment of a telecommunications terminal is selected on the basis of a characteristic of an incoming invitation to participate in a telecommunications session. In accordance with another embodiment of the present invention, the content of files residing in storage used by a system software instance is processed. When an incoming call is received, the present invention selects an active software environment on the basis of whether the caller is identified in any of the processed files.

Method for the selection of an active software environment of a virtualized telecommunications terminal

An application-layer multicast-based (ALM-based), peer-to-peer conferencing system is disclosed that leverages the differing capabilities of the participating peer nodes. A conference call can be set up among peer nodes of three different types. A bridging node is capable of mixing individual audio signals that are associated with a call into a composite audio signal and of providing the composite audio signal to another node. A mixing-capable node is capable of mixing the individual audio signals that are associated with a call, but not of relaying those signals to another node. A mixing-incapable node does not support the mixing of individual audio signals. The conferencing architecture of the illustrative embodiment is able to account for the differences between the three types of nodes that are to participate in a conference call, resulting in an optimal allocation of bandwidth and processing resources.

Enhanced application-layer multicast for peer-to-peer conferencing

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for scheduling an event to automatically join a user to a conference call. In one aspect, the method includes receiving an invitation for a user to join a conference call, extracting from the invitation a scheduled conference call time, conference call address information, conference call authentication information, and a conference call modality, and scheduling an event to join the user to the conference call via the conference call modality at the scheduled conference call time based on the conference call address information and the conference call authentication information. In another aspect, the system retrieves a scheduled event at a scheduled time, extracts the address, authentication, and modality information for the conference, and joins the user to the conference automatically at the scheduled time.

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Metuchen, NJ, United States of America

Xiaotao Wu