Identifying content for users on online social networks

    公开(公告)号:US10409823B2

    公开(公告)日:2019-09-10

    申请号:US14983321

    申请日:2015-12-29

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes, in an online social network, accessing one or more first content objects associated with a user in the online social network and a second content object, determining topics and corresponding first weights of the topics for the first content objects using a topic extraction algorithm, where each first weight indicates a strength of an association between the corresponding topic and the first content object(s), determining one or more second weights of the topics for the second content object, where each second weight indicates a strength of an association between the corresponding topic and the second content object, and calculating a similarity score for the second content object based on a comparison of, for each topic, the first weight to the second weight, where the similarity score is to be used in a determination regarding presentation of the second content object to the user.

    DETERMINING EVENT RECOMMENDABILITY IN ONLINE SOCIAL NETWORKS
    14.
    发明申请
    DETERMINING EVENT RECOMMENDABILITY IN ONLINE SOCIAL NETWORKS 审中-公开
    确定在线社交网络中的事件推荐性

    公开(公告)号:US20170034108A1

    公开(公告)日:2017-02-02

    申请号:US14814382

    申请日:2015-07-30

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes, by a computing device, identifying an event in an online social network to be evaluated for recommendation to a user of the online social network and determining whether the event is recommendable to the user, the determination being based on identifying correlations between one or more characteristics of the user and a plurality of signals associated with the event. The method further includes, in response to determining that the event is recommendable, presenting a recommendation or promotion for the event to the user, and, in response to determining that the event is not recommendable, converting the event in accordance with the determining that the event is not recommendable. The signals may include content associated with the event, metadata associated with the event, or responses to a notification about the event by users of the online social network.

    Abstract translation: 在一个实施例中,一种方法包括通过计算设备识别要在线社交网络中被评估以推荐给在线社交网络的用户的事件并且确定该事件是否对用户可推荐的,所述确定基于 识别用户的一个或多个特征与与该事件相关联的多个信号之间的相关性。 所述方法还包括响应于确定所述事件是可推荐的,向所述用户呈现所述事件的推荐或促销,并且响应于确定所述事件不可推荐,根据确定所述事件 事件不推荐 信号可以包括与事件相关联的内容,与事件相关联的元数据,或者对在线社交网络的用户对关于事件的通知的响应。

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