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    • 31. 发明申请
    • Multi-Social Network Discovery System and Method
    • 多社会网络发现系统与方法
    • US20140195464A1
    • 2014-07-10
    • US14204890
    • 2014-03-11
    • Steven Dennis FlinnNaomi Felina Moneypenny
    • Steven Dennis FlinnNaomi Felina Moneypenny
    • G06N5/04
    • G06N5/048G06F17/2881G06F17/30864G06K7/10366G06K7/10475G06N5/04G06N7/02G06N99/005G06Q30/0631G06Q50/01
    • A multi-social network discovery system and method enables users to select multiple social networks comprising activity streams and to receive recommendations sourced from the selected multiple social networks. The multi-social network discovery system and method generates affinity values based on inferred affinity levels between topics, which may be associated with tags, and objects that are associated with the activity streams. The inferred affinity values may be derived from usage behaviors such as tagging and/or based on an automatic analysis of the content of the objects. The affinity values inform the selection of the objects to be recommended to a user, and the selection may be further informed by inferred affinity levels between the user and the topics. The recommendations may be tuned by the user through application of a recommendation tuning control.
    • 多社会网络发现系统和方法使得用户能够选择包括活动流的多个社交网络并且接收来自所选择的多个社交网络的建议。 多社交网络发现系统和方法基于可能与标签相关联的主题之间的推断亲和度级别以及与活动流相关联的对象来生成亲和度值。 推断的亲和度值可以从诸如标记的使用行为和/或基于对象的内容的自动分析得出。 亲和度值通知选择要推荐给用户的对象,并且可以通过用户和主题之间的推断的亲和度级别来进一步通知该选择。 建议可以由用户通过应用推荐调谐控制进行调整。