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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:US20170302614A1
公开(公告)日:2017-10-19
申请号:US15635804
申请日:2017-06-28
Applicant: Facebook, Inc.
Inventor: Gregory Joseph Klein , Bradley Ray Green , Jun Li , Jonathan Daniel Sorg
CPC classification number: H04L51/32 , G06F17/30 , G06F17/3053 , G06N99/005 , G06Q50/01 , H04L51/063 , H04L65/403 , H04L67/306
Abstract: A system identifies unconnected content items of high quality and provides the unconnected content items for display to a user. The method comprises receiving several content items posted on pages of a social networking system. The system then determines a subset of those content items (e.g., high quality content items). A topic is then extracted from each of the subset of content items. The topic is mapped to one or more related pages of the social networking system that represent an expanded set of pages associated with the content item. For each of the related pages, a user is identified who is connected to the related page. Finally, the content item (e.g., a high quality content item) is provided to the user for display in the user's newsfeed.
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公开(公告)号:US20170186101A1
公开(公告)日:2017-06-29
申请号:US14981029
申请日:2015-12-28
Applicant: Facebook, Inc.
Inventor: Komal Kapoor , Jonathan Daniel Sorg , Bradley Ray Green , Jason Brewer , David Tomotsu Sasaki
IPC: G06Q50/00
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. A predicted activity objective value model configured to calculate activity stores for candidate entities is established. The activity score is indicative of the probability of future activity on the social networking system by a candidate entity. A first activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a first set of feature values. A second activity score is determined for each of the plurality of candidate entities based on the predicted activity object value model and a second set of feature values that is different from the first set of feature values. A first entity is selected of the plurality of candidate entities based on the first and second activity scores.
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公开(公告)号:US20150370798A1
公开(公告)日:2015-12-24
申请号:US14308536
申请日:2014-06-18
Applicant: Facebook, Inc.
Inventor: Jerry Ju , Bradley Green , Andrew Rocco Tresolini Fiore , Antoine Joseph Atallah , Jonathan Daniel Sorg
CPC classification number: G06F17/30867 , G06F17/3053 , G06Q50/01 , H04L12/185 , H04L51/32
Abstract: In one embodiment, a set of user groups of a social-networking system may be accessed. A first subset of the user groups may be determined for a particular user of the social-networking system, based on one or more filtering criteria. A number of recommendation-source processes may be applied to the first subset to determine a number of second subsets of the first set. Each recommendation-source process may represent a particular recommendation source. The second subsets may be combined into a list of user groups. The list of user groups may be ranked, and sent to the particular user.
Abstract translation: 在一个实施例中,可以访问社交网络系统的一组用户组。 可以基于一个或多个过滤标准来为社交网络系统的特定用户确定用户组的第一子集。 可以将许多推荐源过程应用于第一子集以确定第一集合的第二子集的数量。 每个推荐来源过程可能代表特定的推荐来源。 第二个子集可以组合成用户组列表。 可以对用户组的列表进行排名,并将其发送给特定用户。
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