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    Systems and methods for recommending pages
    1.
    发明授权
    Systems and methods for recommending pages 有权

    公开(公告)号：US10579941B2

    公开(公告)日：2020-03-03

    申请号：US15254939

    申请日：2016-09-01

    Applicant: Facebook, Inc.

    Inventor： Bradley Ray Green ,  Jason Eric Brewer

    IPC: G06N20/00 ,  G06N3/08 ,  H04L29/08

    Abstract: Systems, methods, and non-transitory computer-readable media can generate layered training data for determining embeddings for entities that are accessible through the social networking system, wherein the layered training data includes layers of data that are organized by a hierarchy, and wherein each layer of data corresponds to entities of a same type. A respective embedding for each entity in a set of entities can be determined, wherein the embeddings are trained iteratively using each layer of data in the layered training data. 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.

    Recommending objects to a social networking system user based in part on topics associated with the objects
    4.
    发明授权
    Recommending objects to a social networking system user based in part on topics associated with the objects 有权

    公开(公告)号：US10027765B2

    公开(公告)日：2018-07-17

    申请号：US14589835

    申请日：2015-01-05

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer

    IPC: G06F15/16 ,  H04L29/08

    Abstract: A social networking system recommends pages or other objects to a user with which the user may establish a connection to receive content associated with an object. Candidate objects may be identified by the social networking system as objects connected to additional users who are connected to an object connected to the user. To recommend objects with which the user is likely to have an interest, the social networking system extracts one or more topics from the object connected to the user and from various candidate objects. Based on a topic graph, the social networking system determines measures of relatedness between topics extracted from various candidate objects and an object connected to the user. The measures of relatedness are then used to select one or more of the candidate objects to identify to the user.

    SYSTEMS AND METHODS FOR RECOMMENDING CONTENT ITEMS
    5.
    发明申请
    SYSTEMS AND METHODS FOR RECOMMENDING CONTENT ITEMS 审中-公开

    公开(公告)号：US20180060736A1

    公开(公告)日：2018-03-01

    申请号：US15254921

    申请日：2016-09-01

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer ,  Bradley Ray Green

    IPC: G06N5/02 ,  G06N99/00

    CPC classification number: G06N5/022 ,  G06N3/0445

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a respective latent representation for each entity in a set of entities that are accessible through the social networking system, wherein a latent representation for an entity is determined based at least in part on a topic model associated with the entity, each latent representation for an entity having a lower dimensionality than a topic model of the entity. One or more candidate entities that are related to a first entity can be determined based at least in part on the respective latent representations 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.

    RECOMMENDING OBJECTS TO A SOCIAL NETWORKING SYSTEM USER BASED IN PART ON TOPICS ASSOCIATED WITH THE OBJECTS
    6.
    发明申请
    RECOMMENDING OBJECTS TO A SOCIAL NETWORKING SYSTEM USER BASED IN PART ON TOPICS ASSOCIATED WITH THE OBJECTS 有权
    基于相关主题的社会网络系统用户建议对象

    公开(公告)号：US20160198005A1

    公开(公告)日：2016-07-07

    申请号：US14589835

    申请日：2015-01-05

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer

    IPC: H04L29/08

    CPC classification number: H04L67/16 ,  H04L67/20 ,  H04L67/22 ,  H04L67/26 ,  H04L67/306

    Abstract: A social networking system recommends pages or other objects to a user with which the user may establish a connection to receive content associated with an object. Candidate objects may be identified by the social networking system as objects connected to additional users who are connected to an object connected to the user. To recommend objects with which the user is likely to have an interest, the social networking system extracts one or more topics from the object connected to the user and from various candidate objects. Based on a topic graph, the social networking system determines measures of relatedness between topics extracted from various candidate objects and an object connected to the user. The measures of relatedness are then used to select one or more of the candidate objects to identify to the user.

    Abstract translation: 社交网络系统向用户建议页面或其他对象，用户可以通过该页面或其他对象建立连接以接收与对象相关联的内容。 候选对象可以由社交网络系统识别为连接到连接到连接到用户的对象的附加用户的对象。 为了推荐用户可能感兴趣的对象，社交网络系统从连接到用户的对象和各种候选对象中提取一个或多个主题。 基于主题图，社交网络系统确定从各种候选对象提取的主题与连接到用户的对象之间的相关性的度量。 然后使用相关性的度量来选择一个或多个候选对象以向用户标识。

    Search results based on user biases on online social networks
    7.
    发明授权
    Search results based on user biases on online social networks 有权

    公开(公告)号：US10255244B2

    公开(公告)日：2019-04-09

    申请号：US14449406

    申请日：2014-08-01

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer

    IPC: G06F17/30 ,  G06F7/00 ,  G06F16/901 ,  G06Q50/00

    Abstract: In one embodiment, a method includes receiving a query, identifying one or more nodes of a plurality of second nodes corresponding to the query, calculating a score for each of the identified nodes using a probabilistic ranking model that scores each node based at least in part on a number of edges connecting the node to one or more nodes within a first set of user nodes that includes the first node and user nodes corresponding to second users sharing one or more user attributes with the first user, and generating corresponding search results. The score calculated for each of the identified nodes may bias the search results toward nodes connected to disproportionately more nodes in the first set of user nodes than nodes in the plurality of second nodes that correspond to an overall population of users of the online social network.

    Determining Explicit and Implicit User Biases for Search Results on Online Social Networks
    9.
    发明申请
    Determining Explicit and Implicit User Biases for Search Results on Online Social Networks 审中-公开

    公开(公告)号：US20180115479A1

    公开(公告)日：2018-04-26

    申请号：US15837864

    申请日：2017-12-11

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer

    IPC: H04L12/26 ,  G06F17/30

    CPC classification number: H04L43/12 ,  G06F16/9024 ,  G06Q50/01

    Abstract: In one embodiment, a method includes receiving a query input, parsing the query input to identify one or more n-grams, determining a search bias of the first user with respect to the query input, the search bias being determined based on an explicit bias and an implicit bias of the first user, wherein the explicit bias is based on an analysis of the entities associated with the online social networking matching n-grams in the query input, and wherein the implicit bias is based on an analysis of user-profile information of a plurality of second users sharing one or more user attributes with the first user, identifying content objects matching the query input based at least in part on the search bias of the first user, and sending instructions for presenting a search-results interface comprising references to the identified content objects.

    Identifying user biases for search results on online social networks
    10.
    发明授权
    Identifying user biases for search results on online social networks 有权

    公开(公告)号：US09871714B2

    公开(公告)日：2018-01-16

    申请号：US14449489

    申请日：2014-08-01

    Applicant: Facebook, Inc.

    Inventor： Jason Eric Brewer

    IPC: G06F17/30 ,  G06F7/00 ,  H04L12/26 ,  G06Q50/00

    CPC classification number: H04L43/12 ,  G06F17/30958 ,  G06Q50/01

    Abstract: In one embodiment, a method includes receiving a query, determining a user bias of a first user of an online social network from a first node corresponding to the first user and a plurality of user nodes corresponding to a plurality of second users sharing one or more user attributes with the first user, identifying nodes of a plurality of second nodes based at least in part on the user bias of the first user, where the identified nodes correspond to the structured query, and generating search results corresponding to the identified nodes. The bias may be determined by identifying a candidate user node of the second nodes, comparing a first user attribute of the first node to a second user attribute of the candidate user node, and including the candidate user node in the user nodes when the first user attribute matches the second user attribute.

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