Abstract: A computer implemented method and system for a recommendation engine utilizing progressive labeling and user context enrichment.

Abstract: A computer implemented method and apparatus for optimized online presence tracking. The method comprises receiving, from a user device, a request to open a communication connection; in response to receiving the request, opening the communication connection using a native communication protocol function; receiving a message from the user device comprising data that identifies a desired presence level; and in response to receiving the message, upserting presence tracking information to a cache server for use by one or more interested servers.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.

Abstract: Techniques described herein relate to determining performance conditions for mobile device execution sessions based on analyses of session context data and performance data associated with content resource execution sessions. Mobile devices may receive and execute content resources via input/output subsystems, during which feedback data by the mobile devices. Mobile devices also may be configured to detect and/or determine context data associated with specific content resource execution sessions, using device sensors and other techniques. Session analyzers may receive and analyze content resource execution session data received from one or more mobile devices, and determine user performance conditions for content resource execution sessions.