Method and system for personalized recommendation modeling
    1.
    发明授权
    Method and system for personalized recommendation modeling 有权
    个性化推荐建模方法与系统

    公开(公告)号:US09473730B1

    公开(公告)日:2016-10-18

    申请号:US13372104

    申请日:2012-02-13

    摘要: A method and system for modeling the interests of an individual television viewer based on logging the user's television usage activities for the purpose of determining personalized recommendations is presented. According to one aspect of the claimed subject matter, user input in response to a questionnaire, the user's recorded television usage, the user's previous interactions with the personalized recommendations and contextual data such as external events and social group influences are used to model the probability of a user's interest in available media content. Data from the model is subsequently arranged to display units of available media content with the highest probabilities of user interest to the user. According to further embodiments, specific user behavior in previously consumed media content such as a user's selection, a user's continuous consumption, and a user's discontinuation of consumption is tracked and used as input.

    摘要翻译: 提出了一种用于基于记录用户的电视使用活动来确定个人电视观众的兴趣的方法和系统,以确定个性化的建议。 根据所要求保护的主题的一个方面,用户响应于问卷,用户记录的电视使用,用户之前与个性化建议的交互以及诸如外部事件和社会群体影响的语境数据的用户输入被用于对 用户对可用媒体内容的兴趣。 来自模型的数据随后被布置为以用户感兴趣的最高概率显示可用媒体内容的单元。 根据另外的实施例,跟踪并使用诸如用户选择,用户的连续消费和用户的消费中断之类的先前消费的媒体内容中的特定用户行为作为输入。