DYNAMIC ADJUSTMENT OF USER PROFILES FOR BUNDLED APPLICATIONS

    公开(公告)号:US20180213058A1

    公开(公告)日:2018-07-26

    申请号:US15503278

    申请日:2015-08-11

    CPC classification number: H04L67/306 H04L67/22 H04W4/50

    Abstract: A method and apparatus for dynamic adjustment of user profiles for a bundled application is disclosed. Multi-dimensional characteristic attributes of a plurality of players may be tracked and utilized to improve player experience, player retention, and detect abnormal behavior in game play. Player performance and interest may be assessed in real-time. Game independent characteristic attributes are defined for player profiles and are used to adjust a player's experience or preference level based on gaming results such as win-loss scores. Characteristic weights for a player's characteristic attributes are also defined. Methods and apparatus to select game sessions and players with similar interests or experiences are also disclosed. Methods for detecting abnormal patterns in game session behavior are also disclosed. Methods and apparatus for allowing users to opt out of the calibrations process are also disclosed.

    AUTOMATED PROFILING AND CONTEXT DEPENDENT COOPERATIVE IOT MANAGEMENT OPERATIONS

    公开(公告)号:US20180205793A1

    公开(公告)日:2018-07-19

    申请号:US15574551

    申请日:2016-05-18

    Abstract: Methods and systems may be used automated profiling and context dependent cooperative Internet of Things (IoT) management operations. Sensor data may be received from a plurality of devices, arranged into states, and categorized to generate a plurality of behavior categories. State transitions of the sensor data may be detected to generate state transition events. Interdependencies between the states and the state transition events may be analyzed using sets of event pattern detection rules. Actionable event patterns (AEPs) may be created and run based at least on the states and the state transition events to detect combinations of behavior patterns. Control actions and/or alerts may be sent to devices/users based on the detected combinations of behavior pattern. An interdependency graph (IDG) may be generated and/or displayed to users to represent the interdependencies between the states and the state transition events.

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