Systems and methods for page recommendations

    公开(公告)号:US10339611B2

    公开(公告)日:2019-07-02

    申请号:US14565237

    申请日:2014-12-09

    Applicant: Facebook, Inc.

    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.

    RECOMMENDING OBJECTS TO A USER OF A SOCIAL NETWORKING SYSTEM BASED ON THE LOCATION OF THE USER

    公开(公告)号:US20170124207A1

    公开(公告)日:2017-05-04

    申请号:US15403105

    申请日:2017-01-10

    Applicant: Facebook, Inc.

    Abstract: A social networking system recommends objects, such as pages, of the social networking system to users of the social networking system based on the location of the user. The social networking system obtains location information identifying the location of the user. Based on the location of the user, the social networking system identifies levels of geographical partitions encompassing the location of the user. For each level of geographical partitions, the social networking system accesses relevant objects of the social networking system with connections to users located within the level of geographical partitions. The social networking system may have determined a term frequency-inverse document frequency (tf-idf) value for each relevant object. Based on the number of connections and the tf-idf value associated with each relevant object, the social networking system merges the relevant objects accessed at each level into a set of relevant objects to recommend to the user.

    Delivering content promoting a web page to users of an online system

    公开(公告)号:US10915589B1

    公开(公告)日:2021-02-09

    申请号:US16370803

    申请日:2019-03-29

    Applicant: Facebook, Inc.

    Abstract: An online system maintains a web page associated with one or more page administrators. The online system trains a machine learning model to determine a likelihood of a page administrator account accepting a request for the online system to present content about the web page to other users of the online system. The model uses features extracted from data about the page administrator accounts on the online system, the page administrator interactions with the online system, and the web page. The online system selects one or more page administrator accounts and sends them requests based on the determined likelihood scores. The online system delivers content associated with the web page to users of the online system based on a response to the request.

    SYSTEMS AND METHODS FOR RECOMMENDING PAGES
    7.
    发明申请

    公开(公告)号:US20170185685A1

    公开(公告)日:2017-06-29

    申请号:US14980669

    申请日:2015-12-28

    Applicant: Facebook, Inc.

    CPC classification number: G06F16/9535 G06F16/9537

    Abstract: Systems, methods, and non-transitory computer-readable media can determine respective geographic locations of a set of users associated with a page that is accessible through a social network. At least one centroid for the page can be generated based at least in part on the respective geographic locations of the set of users. At least one area of influence of the page can be determined based at least in part on the centroid. At least one page recommendation can be presented to one or more users in the set of users based at least in part on the area of influence of the

    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS BASED ON ONLINE USER BEHAVIOR
    8.
    发明申请
    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS BASED ON ONLINE USER BEHAVIOR 审中-公开
    基于在线用户行为的页面推荐的系统和方法

    公开(公告)号:US20160171382A1

    公开(公告)日:2016-06-16

    申请号:US14572591

    申请日:2014-12-16

    Applicant: Facebook, Inc.

    CPC classification number: G06Q50/00 G06F16/9535 G06N20/00 G06Q50/01

    Abstract: Systems, methods, and non-transitory computer readable media configured to determine features based on online user behavior regarding a seed content item and a candidate content item that may be presented in response to an indication of approval by a user regarding the seed content item. The features are processed to generate a probability that the user will interact with the candidate content item. The candidate content item is selected for presentation to the user based on the probability that the user will interact with the candidate content item.

    Abstract translation: 系统,方法和非暂时性计算机可读介质,其被配置为基于关于种子内容项目的在线用户行为来确定特征,以及可以响应于用户关于种子内容项目的批准的指示而呈现的候选内容项目。 处理特征以产生用户将与候选内容项目进行交互的概率。 基于用户将与候选内容项目进行交互的概率,选择候选内容项目以呈现给用户。

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