Search system and methods with integration of user annotations from a trust network
    2.
    发明申请
    Search system and methods with integration of user annotations from a trust network 有权
    搜索系统和方法,集成了来自信任网络的用户注释

    公开(公告)号:US20140289232A1

    公开(公告)日:2014-09-25

    申请号:US14292028

    申请日:2014-05-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30525 G06F17/30867 G06F17/30899 H04L51/32

    Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

    Abstract translation: 计算机系统和方法包括关于各种页面或站点的用户注释(元数据),包括查询用户的注释以及为查询用户定义的用于搜索和浏览诸如万维网的语料库的信任网络的成员。 为每个用户定义信任网络,并且在搜索和/或浏览语料库期间使第一用户的信任网络的任何成员的注释对于第一用户可见。 用户还可以将搜索限制在其信任网络的成员注释的内容或由用户选择的社区的成员。

    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.

    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。

    User interface for navigating a keyword space
    4.
    发明授权
    User interface for navigating a keyword space 有权
    用于导航关键字空间的用户界面

    公开(公告)号:US09576057B2

    公开(公告)日:2017-02-21

    申请号:US13732535

    申请日:2013-01-02

    Applicant: Yahoo! Inc.

    Abstract: The present invention relates to systems, methods, and user interfaces for browsing a collection of content items saved by a user or by one or more buddies associated with a given user. The method of the present invention comprises saving one or more content items and one or more associated keywords as specified by a user. An interface is generated that displays the one or more saved content items and the one or more associated keywords, as well as the one or more buddies associated with a given user. A user indication of the selection of a given keyword or the selection of a given buddy by the user is received. The one or more displayed content items are filtered according to the selected keyword, buddy, or combination of selected keyword and buddy.

    Abstract translation: 本发明涉及用于浏览由用户或由与给定用户相关联的一个或多个伙伴保存的内容项目的集合的系统,方法和用户界面。 本发明的方法包括保存由用户指定的一个或多个内容项和一个或多个关联关键字。 生成一个界面,显示一个或多个保存的内容项目以及一个或多个关联关键字,以及与给定用户相关联的一个或多个伙伴。 接收给定关键字的选择的用户指示或用户对给定好友的选择。 一个或多个显示的内容项目根据所选择的关键字,好友或所选关键词和伙伴的组合进行过滤。

    Trust propagation through both explicit and implicit social networks
    6.
    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.

    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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