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公开(公告)号：US20160034462A1
公开(公告)日：2016-02-04
申请号：US14449406
申请日：2014-08-01
Applicant: Facebook, Inc.
Inventor： Jason Eric Brewer
CPC classification number: G06F17/30958 , G06Q50/01
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.
Abstract translation: 在一个实施例中，一种方法包括接收查询，识别对应于该查询的多个第二节点中的一个或多个节点，使用概率排序模型来计算每个所识别的节点的得分，所述概率排序模型至少部分地对每个节点进行评分 在将所述节点连接到第一组用户节点内的一个或多个节点的多个边缘上，所述第一组用户节点包括与所述第一用户共享一个或多个用户属性的第二用户对应的第一节点和用户节点，以及生成相应的搜索结果。 针对每个所识别的节点计算的分数可以将搜索结果偏向于与第一组用户节点中的不成比例的更多节点连接的节点，而不是多个第二节点中对应于在线社交网络的总体用户群体的节点。
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公开(公告)号：US10592807B2
公开(公告)日：2020-03-17
申请号：US15254921
申请日：2016-09-01
Applicant: Facebook, Inc.
Inventor： Jason Eric Brewer , Bradley Ray Green
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.
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公开(公告)号：US10289647B2
公开(公告)日：2019-05-14
申请号：US14980439
申请日：2015-12-28
Applicant: Facebook, Inc.
Inventor： Meiying Li , Jason Eric Brewer , Bradley Ray Green
IPC: G06F3/0483 , G06F16/9535 , G06F3/0485 , H04L29/08 , G06F17/21
Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.
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Patent Agency Ranking
公开(公告)号：US20180143981A1
公开(公告)日：2018-05-24
申请号：US15360550
申请日：2016-11-23
Applicant: Facebook, Inc.
Inventor： Neal Suresh Vora , James Donovan , Deepak Chinavle , Gaurav Dosi , Jason Eric Brewer , Bradley Ray Green
CPC classification number: G06F16/24578 , G06F16/248 , G06F16/285 , H04L51/32
Abstract: Systems, methods, and non-transitory computer-readable media can select a set of selected pages from a plurality of pages on a social networking system based on page selection criteria. A set of potential stories from the set of selected pages is aggregated. The set of potential stories are ranked based on ranking criteria. An administrator feed associated with a first page is generated, the administrator feed comprising a plurality of stories from the set of potential stories based on the ranking the set of potential stories.
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公开(公告)号：US20180060973A1
公开(公告)日：2018-03-01
申请号：US15254906
申请日：2016-09-01
Applicant: Facebook, Inc.
Inventor： Komal Kapoor , Jonathan Daniel Sorg , Bradley Ray Green , Jason Eric Brewer
CPC classification number: G06Q50/01 , G06F16/24578 , G06F16/9535 , G06Q30/0243 , G06Q30/0255 , H04L67/02 , H04L67/20 , H04L67/22 , H04L67/26 , H04L67/306
Abstract: Systems, methods, and non-transitory computer-readable media can determine a plurality of candidate entities for recommendation to a user of a social networking system based on candidate criteria. A recommendation pace rating is determined for each of the plurality of candidate entities based on historical recommendation data. A first entity of the plurality of candidate entities is selected for recommendation to the user based on the recommendation pace ratings.
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公开(公告)号：US20180060755A1
公开(公告)日：2018-03-01
申请号：US15254939
申请日：2016-09-01
Applicant: Facebook, Inc.
Inventor： Bradley Ray Green , Jason Eric Brewer
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.
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17.发明申请公开(公告)号：US20170185683A1
公开(公告)日：2017-06-29
申请号：US14980439
申请日：2015-12-28
Applicant: Facebook, Inc.
Inventor： Meiying Li , Jason Eric Brewer , Bradley Ray Green
IPC: G06F17/30 , G06F17/21 , H04L29/08 , G06F3/0483 , G06F3/0485
CPC classification number: G06F17/30867 , G06F3/0483 , G06F3/0485 , G06F17/212 , H04L67/02 , H04L67/306
Abstract: An online system, such as a social networking system, recommends pages of content to users. The recommendation is presented in a recommendation unit presenting one or more representations of pages to a user. Additionally, the user may interact with the recommendation unit to change representations of pages presented by the recommendation unit. A representation of a page presented by the recommendation unit includes content from one or more content items on the page selected based on interaction with the content items on the page and types of content included in content items on the page (e.g., image data, video data, destination address). Representations of different pages may differ based on the types of content included in content items selected from the different pages.
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公开(公告)号：US20160034463A1
公开(公告)日：2016-02-04
申请号：US14449489
申请日：2014-08-01
Applicant: Facebook, Inc.
Inventor： Jason Eric Brewer
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.
Abstract translation: 在一个实施例中，一种方法包括接收查询，从对应于第一用户的第一节点确定在线社交网络的第一用户的用户偏好以及对应于共享一个或多个的多个第二用户的多个用户节点 至少部分地基于第一用户的用户偏好来识别多个第二节点的节点，其中所标识的节点对应于结构化查询，以及生成与所识别的节点相对应的搜索结果。 可以通过识别第二节点的候选用户节点，将第一节点的第一用户属性与候选用户节点的第二用户属性进行比较，并且当第一用户在用户节点中包括候选用户节点时， 属性匹配第二个用户属性。
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