USER-SPECIFIC PROMOTION UNIT FOR PAGE ADVERTISEMENTS

    公开(公告)号:US20180225718A1

    公开(公告)日:2018-08-09

    申请号:US15428140

    申请日:2017-02-08

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0269 G06N20/00 G06Q30/0249 G06Q30/0261

    Abstract: A online system generates and displays page promotion units to viewing users of the online system. The page promotion unit provides content to the viewing user to promote advertisement of a page that the viewing user administers or advertises for. The page promotion unit may be dynamically generated based on content of the page that the viewing user administers. The page promotion unit may also include suggested operational parameters for a campaign to display the content, which may include budget or suggested targeting criteria, as well as estimated reach for the campaign. The page promotion unit also provides an interface for the viewing user to promote the page and direct the viewing user to an interface for initiating an advertising campaign for the page, which may be prepopulated with content from the page promotion unit.

    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS
    25.
    发明申请
    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS 审中-公开
    系统和方法进行页面推荐

    公开(公告)号:US20160162503A1

    公开(公告)日:2016-06-09

    申请号:US14565237

    申请日:2014-12-09

    Applicant: Facebook, Inc.

    CPC classification number: G06Q50/01 G06F16/9535 G06Q30/0275

    Abstract: Systems, methods, and non-transitory computer readable media configured to determine seed content items based on interests of a user. Candidate content items can be determined for potential presentation to the user based at least in part on the seed content items. Features associated with the candidate content items can be processed to generate probabilities that the user will perform interactions with the candidate content items. Values can be assigned to the candidate content items based on the probabilities that the user will perform interactions with the candidate content items and the importance of the interactions. The values can be provided as bid values to an auction system to determine constraints regarding presentation of the candidate content items. Presentation of the candidate content items can be optimized.

    Abstract translation: 配置为基于用户的兴趣来确定种子内容项的系统,方法和非暂时计算机可读介质。 可以至少部分地基于种子内容项目来确定可能呈现给用户的候选内容项目。 可以处理与候选内容项相关联的特征以产生用户将执行与候选内容项目的交互的概率。 可以基于用户将执行与候选内容项目的交互以及交互的重要性的概率将值分配给候选内容项目。 这些值可以作为投标价值提供给拍卖系统,以确定关于候选内容项目的呈现的约束。 可以优化候选内容项目的呈现。

    Recommending Objects To A User Of A Social Networking System Based On Implicit Interactions Between The User And The Recommended Objects
    26.
    发明申请
    Recommending Objects To A User Of A Social Networking System Based On Implicit Interactions Between The User And The Recommended Objects 有权
    基于用户和推荐对象之间的隐含交互的社交网络系统的用户推荐对象

    公开(公告)号:US20160042279A1

    公开(公告)日:2016-02-11

    申请号:US14453080

    申请日:2014-08-06

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/22 G06Q50/01 H04L67/306

    Abstract: The social networking system monitors implicit interactions between a user and objects of the social networking system with which the user has not established a connection. Based on the implicit interactions between the user and an object, the social networking system identifies a soft connection between the user and the object. The social networking system may then identify soft connections to include in a candidate list of soft connections to recommend to the user. The social networking system may also extract signals from the set of candidate list of soft connections, and may use the extracted signals to rank the soft connections in the list of candidate soft connections. The social networking system may then recommend soft connections to the user based on the rank associated with the soft connections in the candidate list of soft connections.

    Abstract translation: 社交网络系统监视用户与用户尚未建立连接的社交网络系统的对象之间的隐含交互。 基于用户和对象之间的隐含交互,社交网络系统识别用户和对象之间的软连接。 社交网络系统然后可以识别软连接以包括在软连接的候选列表中以向用户推荐。 社交网络系统还可以从软连接的候选列表集中提取信号,并且可以使用所提取的信号对候选软连接列表中的软连接进行排序。 然后,社交网络系统可以基于与软连接的候选列表中的软连接相关联的等级来向用户推荐软连接。

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