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METHODS AND SYSTEMS FOR PERSONALIZING USER EXPERIENCE BASED ON ATTITUDE PREDICTION

机译:基于态度预测的个性化用户体验的方法和系统

摘要

The disclosure herein relates to a system and method for personalizing an online experience of a user based on the user's attitude. Attitude models are constructed from user activity data that are able to infer or determine attitudes for a user. Based on the attitudes derived from applying the attitude models, attitude profiles are created for the users. As a users engage in various types of online interactions, the attitude profiles associated with the users can be utilized to personalize the online experience of the user.
机译:本文的公开涉及用于基于用户的态度来个性化用户的在线体验的系统和方法。态度模型是根据用户活动数据构建的,这些数据可以推断或确定用户的态度。基于从应用姿态模型得出的姿态,为用户创建姿态配置文件。当用户进行各种类型的在线互动时,与用户相关联的态度配置文件可用于个性化用户的在线体验。

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