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    Trust propagation through both explicit and implicit social networks
    2.
    发明授权
    Trust propagation through both explicit and implicit social networks 有权
    通过显式和隐性社交网络信任传播

    公开(公告)号：US09576029B2

    公开(公告)日：2017-02-21

    申请号：US13859208

    申请日：2013-04-09

    Applicant: YAHOO! INC.

    Inventor： Pavel Berkhim ,  Zhichen Xu ,  Jianchang Mao ,  Daniel E. Rose ,  Abe Taha ,  Farzin Maghoul

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/3053 ,  G06F17/30616 ,  G06F17/30867 ,  Y10S707/99932 ,  Y10S707/99933

    Abstract: The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

    Abstract translation: 本发明涉及用于信任传播的系统和方法。 根据一个实施例的方法包括计算第一用户的第一特征向量，计算第二用户的第二特征并将第一特征向量与第二特征向量进行比较以计算相似度值。 确定相似度值是否在阈值内。 如果相似度值落在阈值内，则在第一用户简档和第二用户简档中记录第一用户和第二用户之间的关系。

    TRUST PROPAGATION THROUGH BOTH EXPLICIT AND IMPLICIT SOCIAL NETWORKS
    3.
    发明申请
    TRUST PROPAGATION THROUGH BOTH EXPLICIT AND IMPLICIT SOCIAL NETWORKS 有权
    通过两个明示和隐含的社会网络进行的信任传播

    公开(公告)号：US20130226918A1

    公开(公告)日：2013-08-29

    申请号：US13859208

    申请日：2013-04-09

    Applicant: Yahoo! Inc.

    Inventor： Pavel Berkhim ,  Zhichen Xu ,  Jianchang Mao ,  Daniel E. Rose ,  Abe Taha ,  Farzin Maghoul

    IPC: G06F17/30

    CPC classification number: G06F17/3053 ,  G06F17/30616 ,  G06F17/30867 ,  Y10S707/99932 ,  Y10S707/99933

    Abstract: The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

    Abstract translation: 本发明涉及用于信任传播的系统和方法。 根据一个实施例的方法包括计算第一用户的第一特征向量，计算第二用户的第二特征并将第一特征向量与第二特征向量进行比较以计算相似度值。 确定相似度值是否在阈值内。 如果相似度值落在阈值内，则在第一用户简档和第二用户简档中记录第一用户和第二用户之间的关系。

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