SYSTEMS AND METHODS FOR PROMOTING CONTENT ITEMS

    公开(公告)号:US20170186042A1

    公开(公告)日:2017-06-29

    申请号:US14980677

    申请日:2015-12-28

    Applicant: Facebook, Inc.

    CPC classification number: G06Q30/0269 G06Q30/0255 G06Q50/01

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a content item to be promoted to one or more users of the social networking system. At least one seed content item in the social networking system that is similar to the content item to be promoted can be determined. A set of interests can be determined based at least in part on the at least one seed content item. One or more interests in the set can be determined as suggestions for promoting the content item to users, wherein promoting the content item using a first interest causes the content item to be presented to users of the social networking system that are associated with the first interest.

    SYSTEMS AND METHODS FOR FILTERING PAGE RECOMMENDATIONS

    公开(公告)号:US20170185682A1

    公开(公告)日:2017-06-29

    申请号:US14980286

    申请日:2015-12-28

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a profile model for a page that is accessible through the social networking system, the profile model describing one or more modal characteristics of users of the social networking system that have fanned the page. A determination can be made that the page should be recommended to a first user of the social networking system based at least in part on the profile model. At least one page recommendation that references the page can be provided to the first user.

    Recommending objects to a user of a social networking system based on the location of the user
    13.
    发明授权
    Recommending objects to a user of a social networking system based on the location of the user 有权
    基于用户的位置将对象推荐给社交网络系统的用户

    公开(公告)号:US09563709B2

    公开(公告)日:2017-02-07

    申请号:US14296369

    申请日:2014-06-04

    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.

    Abstract translation: 社交网络系统基于用户的位置向社交网络系统的用户推荐社交网络系统的对象,例如页面。 社交网络系统获取识别用户位置的位置信息。 基于用户的位置,社交网络系统识别涵盖用户位置的地理分区的级别。 对于每个级别的地理分区,社交网络系统通过与位于地理分区级别内的用户的连接来访问社交网络系统的相关对象。 社交网络系统可以确定每个相关对象的术语频率 - 逆文档频率(tf-idf)值。 基于与每个相关对象相关联的连接数和tf-idf值,社交网络系统将在每个级别访问的相关对象合并成一组相关对象,以向用户推荐。

    Recommending Objects To A User Of A Social Networking System Based On The Location Of The User
    14.
    发明申请
    Recommending Objects To A User Of A Social Networking System Based On The Location Of The User 有权
    基于用户位置的社交网络系统的用户推荐对象

    公开(公告)号:US20150356183A1

    公开(公告)日:2015-12-10

    申请号:US14296369

    申请日:2014-06-04

    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.

    Abstract translation: 社交网络系统基于用户的位置向社交网络系统的用户推荐社交网络系统的对象,例如页面。 社交网络系统获取识别用户位置的位置信息。 基于用户的位置,社交网络系统识别涵盖用户位置的地理分区的级别。 对于每个级别的地理分区,社交网络系统通过与位于地理分区级别内的用户的连接来访问社交网络系统的相关对象。 社交网络系统可以确定每个相关对象的术语频率 - 逆文档频率(tf-idf)值。 基于与每个相关对象相关联的连接数和tf-idf值,社交网络系统将在每个级别访问的相关对象合并成一组相关对象,以向用户推荐。

    Systems and methods for recommending content

    公开(公告)号:US11163843B1

    公开(公告)日:2021-11-02

    申请号:US16236194

    申请日:2018-12-28

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one scenario that applies to a user of a social networking system based at least in part on features associated with the user. One or more groups of content recommendations associated with the at least one scenario can be determined. Each group of content recommendations can include a set of content items that relate to the at least one scenario. The one or more groups of content recommendations can be provided to the user as recommendations.

    Recommending objects to a user of a social networking system based on the location of the user

    公开(公告)号:US11151209B1

    公开(公告)日:2021-10-19

    申请号:US16657954

    申请日:2019-10-18

    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.

    Recommending objects to a user of a social networking system based on implicit interactions between the user and the recommended objects

    公开(公告)号:US10742756B2

    公开(公告)日:2020-08-11

    申请号:US15657017

    申请日:2017-07-21

    Applicant: Facebook, Inc.

    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.

    Recommending objects to a user of a social networking system based on the location of the user

    公开(公告)号:US10482143B2

    公开(公告)日:2019-11-19

    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:US10296548B2

    公开(公告)日:2019-05-21

    申请号:US15365743

    申请日:2016-11-30

    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 AUTOMATED PAGE CATEGORY RECOMMENDATION

    公开(公告)号:US20190065606A1

    公开(公告)日:2019-02-28

    申请号:US15687974

    申请日:2017-08-28

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can receive page information associated with a page and user information associated with a user associated with the page. Confidence scores are calculated for a plurality of categories based on the page information and the user information, wherein a confidence score for a category is indicative of a likelihood that the category is relevant to the page. One or more categories of the plurality of categories are selected based on the confidence scores. The one or more categories are presented to the user as category recommendations.

Patent Agency Ranking