Assigning social networking system users to households

    公开(公告)号:US09679044B2

    公开(公告)日:2017-06-13

    申请号:US13677885

    申请日:2012-11-15

    Applicant: Facebook, Inc.

    Abstract: Users of a social networking system are assigned to households using prediction models that rely, in part, on user profile information and social graph data. Information about users may be received by a social networking system through various channels (e.g., declared/profile information, user history, IP addresses, Global Positioning System (GPS) data from check-in events and/or continuously provided by mobile devices, external household information, and/or social information). Scoring models may use statistical analysis of the received user information to predict household membership for users. User attributes, such as previous names, date of birth, social graph data, locations, life events, and check-ins, may be factors in generating confidence scores of predicted household memberships. Weighted scoring models may use machine learning methods for measuring the accuracy of the household membership prediction. The social networking system may use a machine learning algorithm to analyze user information to determine confidence scores for matching potential households.

    ASSESSING IMPACT OF COMMUNICATIONS BETWEEN SOCIAL NETWORKING SYSTEM USERS ON A BRAND
    23.
    发明申请
    ASSESSING IMPACT OF COMMUNICATIONS BETWEEN SOCIAL NETWORKING SYSTEM USERS ON A BRAND 审中-公开
    评估社会网络系统用户对品牌之间的通信的影响

    公开(公告)号:US20150012336A1

    公开(公告)日:2015-01-08

    申请号:US13933598

    申请日:2013-07-02

    Applicant: Facebook, Inc.

    CPC classification number: G06Q50/01 G06Q30/0201

    Abstract: A social networking system identifies communications about an object associated with a brand owner. For each communication, the social networking system identifies users who were generated the communication, users who were exposed to the communication, and users who were not exposed to the communication. The social networking system measures the impact of the communications on the behavior and/or sentiment of the users towards the brand owner. For example, the social networking system presents users with surveys after presentation of a communication about an object associated with a brand owner and determines the impact of the communication from the responses to the survey. The impact of the communications may then be reported to the brand owner.

    Abstract translation: 社交网络系统识别与品牌所有者相关联的对象的通信。 对于每个通信,社交网络系统识别生成通信的用户,暴露于通信的用户以及没有接触到通信的用户。 社交网络系统衡量通信对用户对品牌所有者的行为和/或情绪的影响。 例如,社交网络系统在呈现关于与品牌所有者相关联的对象的通信之后向用户呈现调查,并且确定来自响应对调查的通信的影响。 然后可以将通信的影响报告给品牌所有者。

    Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics
    24.
    发明申请
    Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics 审中-公开
    社会网络数据与其他数据集的组合用于估计观众统计

    公开(公告)号:US20140129321A1

    公开(公告)日:2014-05-08

    申请号:US14153025

    申请日:2014-01-11

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0245 G06Q30/0242 G06Q50/01

    Abstract: Embodiments of the invention combine information from different data sets, such as social networks, advertising networks, and/or panels, each data set comprising statistics about past viewership of content (e.g., advertisements). The result of the combination is a model that, when applied to statistics about viewing of particular content, produces viewing statistics about the particular content that are more accurate than the data of any given one of the different data sets when taken in isolation.

    Abstract translation: 本发明的实施例组合来自不同数据集的信息,例如社交网络,广告网络和/或面板,每个数据集包括关于过去内容(例如广告)的观看次数的统计数据。 组合的结果是当应用于关于特定内容的观看的统计信息时,产生关于特定内容的查看统计信息,所述内容比单独采用的任何给定的一个不同数据集的数据更准确。

    Assigning social networking system users to households

    公开(公告)号:US10726050B2

    公开(公告)日:2020-07-28

    申请号:US15488313

    申请日:2017-04-14

    Applicant: Facebook, Inc.

    Abstract: Users of a social networking system are assigned to households using prediction models that rely, in part, on user profile information and social graph data. Information about users may be received by a social networking system through various channels (e.g., declared/profile information, user history, IP addresses, Global Positioning System (GPS) data from check-in events and/or continuously provided by mobile devices, external household information, and/or social information). Scoring models may use statistical analysis of the received user information to predict household membership for users. User attributes, such as previous names, date of birth, social graph data, locations, life events, and check-ins, may be factors in generating confidence scores of predicted household memberships. Weighted scoring models may use machine learning methods for measuring the accuracy of the household membership prediction. The social networking system may use a machine learning algorithm to analyze user information to determine confidence scores for matching potential households.

    TAGGING POSTED CONTENT IN A SOCIAL NETWORKING SYSTEM WITH MEDIA INFORMATION

    公开(公告)号:US20170317966A1

    公开(公告)日:2017-11-02

    申请号:US15652974

    申请日:2017-07-18

    Applicant: Facebook, Inc.

    CPC classification number: H04L51/32 G06Q50/01

    Abstract: A social networking system allows a user to insert media information into content posted by the user, where the media information identifies a media item that the user is consuming while composing the posted content. When a user of a social networking system composes content via a composer interface, the user may select an option on the composer interface to record audio using a microphone on the user's device. A media item is identified from the recorded audio and information about the identified media item is added to the user's posted content. The system may also update information about the identified media item and the composing user.

    Generating Metrics Based on Client Device Ownership
    28.
    发明申请
    Generating Metrics Based on Client Device Ownership 审中-公开
    基于客户端设备所有权生成指标

    公开(公告)号:US20140172541A1

    公开(公告)日:2014-06-19

    申请号:US13713459

    申请日:2012-12-13

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0242 G06Q50/01

    Abstract: A social networking system generates metrics for one or more advertisements based on client device ownership. Social networking system users are identified as owners of client devices. For example, a social networking system user is identified as owning a client device if the user's user account was accessed using a native software application or a web browsing application associated with the client device. Exposures to one or more advertisements by the identified owners are determined and used to generate advertising metrics with respect to the client devices owned by the owners. The metrics may be segmented or organized based on various client device types.

    Abstract translation: 社交网络系统基于客户端设备所有权生成针对一个或多个广告的指标。 社交网络系统用户被识别为客户端设备的所有者。 例如,如果使用与客户端设备相关联的本机软件应用程序或Web浏览应用程序来访问用户的用户帐户,则将社交网络系统用户识别为拥有客户端设备。 所确定的所有者对一个或多个广告的曝光被确定并用于相对于由所有者拥有的客户端设备产生广告度量。 可以基于各种客户端设备类型来分段或组织度量。

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