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    Querying Groups of Users Based on User Attributes for Social Analytics
    1.
    发明申请
    Querying Groups of Users Based on User Attributes for Social Analytics 有权
    基于社交分析的用户属性查询用户组

    公开(公告)号：US20160147886A1

    公开(公告)日：2016-05-26

    申请号：US14548703

    申请日：2014-11-20

    Applicant: Facebook, Inc.

    Inventor： Deniz Demir ,  Islam Farid Hamed AbdelRahman ,  Yingsheng Gao ,  Liang He ,  Ajoy Joseph Frank ,  Wenrui Zhao ,  Maxim Sokolov ,  Reid Steven Gershbein

    IPC: G06F17/30

    CPC classification number: G06F17/30867 ,  G06F17/30324

    Abstract: A system determines a set of users satisfying a given criteria based on attribute values of the users. The system associates each value of an attribute with a representation of users having that attribute value. The representation of users may be an enumeration of users or a bit index. The system receives a request for determining a set of users satisfying a given criterion. The system identifies a logical operation based on the criterion and performs the logical operation to determine the set of users. The representation of the set of users may be distributed across a plurality of processors, allowing the system to perform the logical operation in parallel. The system may further determine statistical information describing a characteristic of the set of users, for example, page likes by the set of users. The statistical information may be presented to a business for analyzing their target audience.

    Abstract translation: 系统基于用户的属性值确定满足给定标准的一组用户。 系统将属性的每个值与具有该属性值的用户的表示相关联。 用户的表示可以是用户的枚举或位索引。 系统接收到确定满足给定标准的一组用户的请求。 该系统基于标准识别逻辑操作，并执行逻辑操作以确定用户组。 用户组的表示可以分布在多个处理器上，允许系统并行地执行逻辑操作。 该系统还可以确定描述用户组的特征的统计信息，例如该用户组的页面喜好。 统计信息可以呈现给企业用于分析其目标受众。

    Querying groups of users based on user attributes for social analytics
    2.
    发明授权
    Querying groups of users based on user attributes for social analytics 有权

    公开(公告)号：US09846746B2

    公开(公告)日：2017-12-19

    申请号：US14548703

    申请日：2014-11-20

    Applicant: Facebook, Inc.

    Inventor： Deniz Demir ,  Islam Farid Hamed AbdelRahman ,  Yingsheng Gao ,  Liang He ,  Ajoy Joseph Frank ,  Wenrui Zhao ,  Maxim Sokolov ,  Reid Steven Gershbein

    IPC: G06F17/30

    CPC classification number: G06F17/30867 ,  G06F17/30324

    Abstract: A system determines a set of users satisfying a given criteria based on attribute values of the users. The system associates each value of an attribute with a representation of users having that attribute value. The representation of users may be an enumeration of users or a bit index. The system receives a request for determining a set of users satisfying a given criterion. The system identifies a logical operation based on the criterion and performs the logical operation to determine the set of users. The representation of the set of users may be distributed across a plurality of processors, allowing the system to perform the logical operation in parallel. The system may further determine statistical information describing a characteristic of the set of users, for example, page likes by the set of users. The statistical information may be presented to a business for analyzing their target audience.

    Using Audience Metrics with Targeting Criteria for an Advertisement
    4.
    发明申请
    Using Audience Metrics with Targeting Criteria for an Advertisement 审中-公开
    使用具有广告定位标准的观众指标

    公开(公告)号：US20160140620A1

    公开(公告)日：2016-05-19

    申请号：US14542397

    申请日：2014-11-14

    Applicant: Facebook, Inc.

    Inventor： Michael Desmond Pinkowish ,  Deniz Demir ,  Alexandra Louise Krakaris ,  Liang He ,  Yingsheng Gao ,  Islam Farid Hamed AbdelRahman ,  Ajoy Joseph Frank ,  Reid Steven Gershbein ,  Srikant Ramakrishna Ayyar ,  Guven Burc Arpat ,  Michael Lee Develin ,  Michael Nicholas Hudack ,  Maxim Sokolov ,  Jonathan Shottan ,  Wenrui Zhao

    IPC: G06Q30/02 ,  G06F17/30

    CPC classification number: G06Q30/0269 ,  G06F16/9535

    Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.

    Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。

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