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    SOCIAL NETWORK BASED CONTEXTUAL RANKING
    1.
    发明申请
    SOCIAL NETWORK BASED CONTEXTUAL RANKING 审中-公开
    基于社会网络的上下文排名

    公开(公告)号：WO2012109487A2

    公开(公告)日：2012-08-16

    申请号：PCT/US2012024550

    申请日：2012-02-09

    Applicant: MICROSOFT CORP

    Inventor： NEYSTADT EUGENE JOHN ,  KARIDI RON ,  WEISFELD YITZHAK TZAHI ,  VARSHAVSKY ROY ,  ORON AVIGAD ,  RADINSKY KIRA

    IPC: G06Q50/30

    CPC classification number: G06F17/30867 ,  G06Q30/0282 ,  G06Q50/01

    Abstract: A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's reputation may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.

    Abstract translation: 可以根据每个用户的专业知识分类以及个人对特定类别的用户的信任来计算一组排名的用户。 用户排名可能用于呈现搜索结果，建议，社交营销或其他用途。 一个人的声誉可以通过各种在线活动来确定。 一个人对另一个人的信任可能与一个或多个社交网络中的邻近度和活动有关。

    USER INTERFACES FOR PERSONALIZED RECOMMENDATIONS
    2.
    发明申请
    USER INTERFACES FOR PERSONALIZED RECOMMENDATIONS 审中-公开
    用户界面用于个性化推荐

    公开(公告)号：WO2012109488A3

    公开(公告)日：2012-11-08

    申请号：PCT/US2012024552

    申请日：2012-02-09

    Applicant: MICROSOFT CORP

    Inventor： NEYSTADT EUGENE JOHN ,  ORON AVIGAD ,  KARIDI RON ,  VARSHAVSKY ROY ,  DAR ZIV RON

    IPC: G06Q50/30 ,  G06F3/048

    CPC classification number: G06Q30/0282 ,  G06F17/30035 ,  G06Q10/00 ,  G06Q30/02 ,  G06Q50/01

    Abstract: A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's expertise may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.

    Abstract translation: 排序的一组用户可以根据每个用户的专业知识分类和用户对特定类别的用户信任度来计算。 排名的用户组可以用于呈现搜索结果，推荐，社交营销或其他用途。 一个人的专业知识可以通过各种在线活动来确定。 一个人对另一个人的信任可能与他们在一个或多个社交网络中的接近度和活动有关。

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