发明名称 MACHINE LEARNING-BASED USER BEHAVIOR CHARACTERIZATION
摘要 This disclosure is directed to machine learning-based user behavior characterization. An example system may comprise a device including a user interface module to present content to a user and to collect user data (e.g., including user biometric data) during the content presentation. The system may also comprise a machine learning module to determine parameters for use in presenting the content based on the user data. For example, the machine learning module may formulate a behavioral model including user states based on the user data, the user states being correlated to an objective (e.g., based on a cost function) and content presentation parameter settings. Employing the behavioral model, the machine learning module may determine a current user state based on the user data, and may select the content presentation parameter settings to bias movement of the current observed user state towards an observed user state associated with the maximized cost function.
申请公布号 EP3047387(A1) 申请公布日期 2016.07.27
申请号 EP20130893885 申请日期 2013.09.20
申请人 INTEL CORPORATION 发明人 FERENS, RON;KAMHI, GILA;MORAN, AMIT
分类号 G06F15/18 主分类号 G06F15/18
代理机构 代理人
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