Systems and methods for recommending pages

    公开(公告)号:US10762436B2

    公开(公告)日:2020-09-01

    申请号:US14977016

    申请日:2015-12-21

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a respective embedding for each entity in a set of entities that are accessible through the social networking system, wherein each embedding is learned based at least in part on one or more sessions of connections formed between users and entities of the social networking system. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective embeddings for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity.

    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.

    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS BASED ON PAGE RECIPROCITY
    3.
    发明申请
    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS BASED ON PAGE RECIPROCITY 有权
    基于页面重叠的页面推荐的系统和方法

    公开(公告)号:US20160171381A1

    公开(公告)日:2016-06-16

    申请号:US14570825

    申请日:2014-12-15

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer readable media configured to determine whether a candidate content item may be presented in response to an indication of approval by a user regarding a seed content item according to a first technique. It is determined whether the seed content item may be presented in response to an indication of approval by the user regarding the candidate content item according to a second technique. Features, including a reciprocity feature based on the determining whether a candidate item may be presented and the determining whether the seed content item may be presented, are processed to generate a probability that the user will interact with the candidate content item.

    Abstract translation: 系统,方法和非暂时计算机可读介质,被配置为根据第一技术来确定是否可以响应于用户关于种子内容项目的批准的指示来呈现候选内容项目。 根据第二技术,确定是否可以响应于用户关于候选内容项目的批准的指示来呈现种子内容项目。 处理包括基于确定是否可以呈现候选项目并且确定是否可以呈现种子内容项目的互惠特征的特征以产生用户将与候选内容项目进行交互的概率。

    Eliciting event-driven feedback in a social network after a time delay

    公开(公告)号:US10681158B2

    公开(公告)日:2020-06-09

    申请号:US14887008

    申请日:2015-10-19

    Applicant: Facebook, Inc.

    Abstract: Particular embodiments detect events associated with information about events and activities that a user has engaged in. The events may be of a particular type. An entity associated with an event may request that the user provide further information on the event and, based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the type or context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

    SYSTEMS AND METHODS FOR RECOMMENDING PAGES
    5.
    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 RECOMMENDING PAGES
    6.
    发明申请

    公开(公告)号:US20170178023A1

    公开(公告)日:2017-06-22

    申请号:US14977016

    申请日:2015-12-21

    Applicant: Facebook, Inc.

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

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a respective embedding for each entity in a set of entities that are accessible through the social networking system, wherein each embedding is learned based at least in part on one or more sessions of connections formed between users and entities of the social networking system. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective embeddings for the candidate entities and the first entity. At least a first candidate entity from the one or more candidate entities can be provided as a recommendation to a user that formed a connection with the first entity.

    SYSTEMS AND METHODS FOR PAGE RECOMMENDATIONS BASED ON ONLINE USER BEHAVIOR
    7.
    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。

    Eliciting Event-Driven Feedback in a Social Network
    8.
    发明申请
    Eliciting Event-Driven Feedback in a Social Network 审中-公开
    在社交网络中引发事件驱动的反馈

    公开(公告)号:US20160044120A1

    公开(公告)日:2016-02-11

    申请号:US14886976

    申请日:2015-10-19

    Applicant: Facebook, Inc.

    CPC classification number: H04L67/22 H04L67/306

    Abstract: Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

    Abstract translation: 具体实施例检测与用户所参与的活动相关联的事件。活动可以与位置或位置无关。 根据收到的信息,社交网络系统在适当的时间延迟后向用户发送后续信息请求。 时间延迟可能会根据用户活动和触发请求的事件的上下文而有所不同。 在接收到后续信息之后,这样的信息被存储在社交网络系统中,并且可以用于确定向用户的朋友发送的建议,赞助的故事,广告等。 该信息也可用于排名或过滤建议。

    Eliciting event-driven feedback in a social network
    9.
    发明授权
    Eliciting event-driven feedback in a social network 有权
    在社交网络中引发事件驱动的反馈

    公开(公告)号:US09210228B2

    公开(公告)日:2015-12-08

    申请号:US13711431

    申请日:2012-12-11

    Applicant: Facebook, Inc.

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

    Abstract: Particular embodiments detect events associated with information about activities that a user has engaged in. The activities may be associated with a location or location-agnostic. Based on the received information, the social-networking system sends the user a request for follow-up information after an appropriate time delay. The time delay may vary based on the user activity and the context of the event that triggered the request. After the follow-up information is received, such information is stored in the social-networking system and may be used to determine recommendations, sponsored stories, advertisements, etc. to send to friends of the user. The information may also be used for ranking or filtering recommendations.

    Abstract translation: 具体实施例检测与用户所参与的活动相关联的事件。活动可以与位置或位置无关。 根据收到的信息,社交网络系统在适当的时间延迟后向用户发送后续信息请求。 时间延迟可能会根据用户活动和触发请求的事件的上下文而有所不同。 在接收到后续信息之后,这样的信息被存储在社交网络系统中,并且可以用于确定向用户的朋友发送的建议,赞助的故事,广告等。 该信息也可用于排名或过滤建议。

    ELICITING EVENT-DRIVEN FEEDBACK IN A SOCIAL NETWORK

    公开(公告)号:US20200259912A1

    公开(公告)日:2020-08-13

    申请号:US16861585

    申请日:2020-04-29

    Applicant: Facebook, Inc.

    Abstract: Particular embodiments detect an indication of an event that is initiated on an online social network by a user and that is related to an entity associated with an activity that the user has engaged in. Based on the received indication, a social-networking system sends the user a request for follow-up information about the activity. After the follow-up information is received, the social-networking system retrieves contacts of the user and identifies contacts that have engaged in social activities on the online social network related to the entity. Recommendations for the entity are then sent to those identified contacts.

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