Identifying Users' Identity Through Tracking Common Activity
    1.
    发明申请
    Identifying Users' Identity Through Tracking Common Activity 审中-公开
    通过跟踪常见活动识别用户身份

    公开(公告)号:US20170078415A1

    公开(公告)日:2017-03-16

    申请号:US14854726

    申请日:2015-09-15

    Applicant: Yahoo! Inc.

    Abstract: Systems and methods for identifying users according to their activity are disclosed. The identification of a user includes accessing a user activity log having a plurality of identifiers and corresponding activity information for each identifier, determining identifiers having correlating activity information, and assigning identifiers having correlating activity information to a common user.

    Abstract translation: 公开了根据其活动来识别用户的系统和方法。 用户的识别包括访问具有多个标识符的用户活动日志和每个标识符的相应活动信息,确定具有相关活动信息的标识符,以及将具有相关活动信息的标识符分配给公共用户。

    Method and System for Enhanced Content Recommendation
    2.
    发明申请
    Method and System for Enhanced Content Recommendation 审中-公开
    增强内容推荐方法与系统

    公开(公告)号:US20160188725A1

    公开(公告)日:2016-06-30

    申请号:US14586202

    申请日:2014-12-30

    Applicant: Yahoo! Inc.

    Abstract: Method, system, and programs for providing content recommendation are disclosed. A first set of candidate content items may be generated based on a user profile, and a second set of candidate items may be generated based on the likelihood that the user will click a corresponding candidate content item in the second set. The candidate content items in the first and second sets may be ranked together using a learning model and presented to the user as content recommendations based on their rankings. The likelihood that the user will click a given candidate content item in the second set may be estimated based on similarities between the given content item and content items related to the given content item. Such a similarity may be computed based on activities performed by users who have viewed both the given content item and a related content item.

    Abstract translation: 公开了用于提供内容推荐的方法,系统和程序。 可以基于用户简档来生成第一组候选内容项,并且可以基于用户将点击第二组中的相应候选内容项的可能性来生成第二组候选项。 可以使用学习模型将第一和第二组中的候选内容项目排列在一起,并且基于其排名将其呈现给用户作为内容推荐。 可以基于给定内容项和与给定内容项相关的内容项之间的相似度来估计用户点击第二组中的给定候选内容项的可能性。 可以基于同时观看给定内容项目和相关内容项目的用户执行的活动来计算这样的相似度。

    METHOD AND SYSTEM FOR ONLINE USER PROFILING
    3.
    发明申请
    METHOD AND SYSTEM FOR ONLINE USER PROFILING 审中-公开
    在线用户配置的方法和系统

    公开(公告)号:US20160371378A1

    公开(公告)日:2016-12-22

    申请号:US14436640

    申请日:2015-02-11

    Applicant: YAHOO! INC.

    Abstract: The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

    Abstract translation: 本教学涉及在线用户分析。 在一个示例中,获得与社交媒体网络的第一用户相关联的内容。 从与第一用户相关联的内容中,识别到第一内容的第一链接。 在社交媒体网络的上下文中确定与第一用户相关联的社交媒体网络的第二用户。 从与社交媒体网络的第二用户相关联的内容中,识别到第二内容片段的第二链接。 分别基于第一和第二链路检索第一和第二内容。 至少部分地基于第一和第二内容片段生成第一用户的用户简档。

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