Inferring user profile attributes from social information

    公开(公告)号:US09251468B2

    公开(公告)日:2016-02-02

    申请号:US14473798

    申请日:2014-08-29

    Applicant: Facebook, Inc.

    CPC classification number: G06N5/04 G06Q10/06398 G06Q10/10 G06Q30/02 G06Q50/01

    Abstract: User profile information for a user of a social networking system is inferred based on information about user profile of the user's connections in the social networking system. The inferred user profile attributes may include age, gender, education, affiliations, location, and the like. To infer a value of a user profile attribute, the system may determine an aggregate value based on the attributes of the user's connections. A confidence score may also be associated with the inferred attribute value. The set of connections analyzed to infer a user profile attribute may depend on the attribute, the types of connections, and the interactions between the user and the connections. The inferred attribute values may be used to update the user's profile and to determine information relevant to the user to be presented to the user (e.g., targeting advertisements to the user based on the user's inferred attributes).

    Location-Based Content Promotion on Online Social Networks
    3.
    发明申请
    Location-Based Content Promotion on Online Social Networks 有权
    基于位置的在线社交网络内容推广

    公开(公告)号:US20150304437A1

    公开(公告)日:2015-10-22

    申请号:US14323951

    申请日:2014-07-03

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a computing system may access a social graph of an online social network comprising a plurality of nodes and a plurality of edges connecting the nodes, where each of the edges between two of the nodes represent a single degree of separation between them, and the nodes comprise a first node corresponding to a first user of the online social network, and a plurality of second nodes corresponding to a plurality of second users associated with the online social network. The computing system may calculate a content score for each of one or more content items shared by the second users on the online social network, where each content score is based at least in part on a proximity coefficient between the first user and the content item. The computing system may send one or more of the scored content items for display to the first user.

    Abstract translation: 在一个实施例中,计算系统可以访问包括多个节点和连接节点的多个边缘的在线社交网络的社交图,其中两个节点之间的每个边缘表示它们之间的单一分离度, 并且节点包括对应于在线社交网络的第一用户的第一节点和对应于与在线社交网络相关联的多个第二用户的多个第二节点。 计算系统可以计算在线社交网络上由第二用户共享的一个或多个内容项目中的每一个的内容分数,其中每个内容分数至少部分地基于第一用户和内容项目之间的接近系数。 计算系统可以向第一用户发送用于显示的得分内容项目中的一个或多个。

    Nearby Friend Notifications on Online Social Networks
    4.
    发明申请
    Nearby Friend Notifications on Online Social Networks 审中-公开
    在线社交网络附近的朋友通知

    公开(公告)号:US20150304436A1

    公开(公告)日:2015-10-22

    申请号:US14323915

    申请日:2014-07-03

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a computing system may access a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, the nodes comprising a first node corresponding to the first user, the first user being associated with an online social network, and a number of second nodes corresponding to a number of second users associated with the online social network. The computing system may receive an indication of a first location of a mobile-client system of the first user. The computing system may identify one or more second users based on one or more notification rules, where each second user is associated with a mobile-client system having a second location within a threshold distance of the first location.

    Abstract translation: 在一个实施例中,计算系统可以访问包括连接节点的多个节点和多个边缘的社交图,两个节点之间的每个边缘之间的每个边缘表示它们之间的单一分离度,所述节点包括第一节点 对应于第一用户,第一用户与在线社交网络相关联,以及与与在线社交网络相关联的多个第二用户对应的多个第二节点。 计算系统可以接收第一用户的移动 - 客户端系统的第一位置的指示。 计算系统可以基于一个或多个通知规则识别一个或多个第二用户,其中每个第二用户与具有在第一位置的阈值距离内的第二位置的移动客户端系统相关联。

    Implicit geolocation of social networking users

    公开(公告)号:US10652345B2

    公开(公告)日:2020-05-12

    申请号:US16103449

    申请日:2018-08-14

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, one or more computing systems receive a request for a location prediction for a user from a service. The computing systems access one or more real-time location signals and one or more aggregated location signals. The aggregated location signals may comprise one or more previous location signals. The computing systems may then generate one or more location predictions from the one or more real-time location signals and the one or more aggregated location signals, and calculate a single location prediction for the user from the one or more location predictions. The computing systems may then send, in response to the request, the single location prediction for the user to the requesting service.

    Implicit Geolocation of Social Networking Users

    公开(公告)号:US20180375948A1

    公开(公告)日:2018-12-27

    申请号:US16103449

    申请日:2018-08-14

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, one or more computing systems receive a request for a location prediction for a user from a service. The computing systems access one or more real-time location signals and one or more aggregated location signals. The aggregated location signals may comprise one or more previous location signals. The computing systems may then generate one or more location predictions from the one or more real-time location signals and the one or more aggregated location signals, and calculate a single location prediction for the user from the one or more location predictions. The computing systems may then send, in response to the request, the single location prediction for the user to the requesting service.

    Techniques to manage client location detection

    公开(公告)号:US09674653B2

    公开(公告)日:2017-06-06

    申请号:US14636889

    申请日:2015-03-03

    Applicant: Facebook, Inc.

    CPC classification number: H04W64/006 H04L67/104 H04W4/02 H04W4/023 H04W56/006

    Abstract: Techniques to manage client location detection are described. In one embodiment an apparatus may comprise a location-based services support component and a client management component. The location-based services support component may be operative to determine that a network service is scheduled for a location update from a mobile device, determine a location accuracy based on the network service, and update the network service with a received location of the mobile device. The client management component may be operative to transmit a location request to the mobile device, the location request specifying the location accuracy determined based on the network service and receive a response to the location request from the mobile device, the response comprising the location of the mobile device conforming to the specified location accuracy. Other embodiments are described and claimed.

    Location-Based Ranking of Search Results on Online Social Networks
    9.
    发明申请
    Location-Based Ranking of Search Results on Online Social Networks 审中-公开
    基于位置的在线社交网络搜索结果排名

    公开(公告)号:US20150302092A1

    公开(公告)日:2015-10-22

    申请号:US14323975

    申请日:2014-07-03

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a computing system may access a social graph comprising a plurality of nodes and a plurality of edges connecting the nodes, each of the edges between two of the nodes representing a single degree of separation between them, where the nodes comprise a first node corresponding to a first user of an online social network, and a plurality of second nodes that each correspond to a concept or a second user associated with the online social network. The computing system may receive a search query from the first user. The computing system may generate one or more search results corresponding to the search query, where each search result corresponds to a node of the plurality of second nodes. The computing system may score each search result based on a proximity coefficient between the first node and the node corresponding to the search result.

    Abstract translation: 在一个实施例中,计算系统可以访问包括连接节点的多个节点和多个边缘的社交图,其中两个节点之间的每个边缘表示它们之间的单个分离度,其中节点包括第一 对应于在线社交网络的第一用户的节点,以及每个对应于与在线社交网络相关联的概念或第二用户的多个第二节点。 计算系统可以从第一用户接收搜索查询。 计算系统可以生成与搜索查询相对应的一个或多个搜索结果,其中每个搜索结果对应于多个第二节点的节点。 计算系统可以基于第一节点和对应于搜索结果的节点之间的接近系数来对每个搜索结果进行评分。

    Labeling Samples in a Similarity Graph
    10.
    发明申请
    Labeling Samples in a Similarity Graph 有权
    在相似图中标记样品

    公开(公告)号:US20140046959A1

    公开(公告)日:2014-02-13

    申请号:US14053492

    申请日:2013-10-14

    Applicant: Facebook, Inc.

    CPC classification number: G06F17/3053 G06F17/30958

    Abstract: Particular embodiments of a social-networking system maintain one or more data stores storing a social graph comprising user nodes, concept nodes, and edges connecting the nodes. Particular embodiments may determine a confidence score with respect to a user node and a concept node, wherein the confidence score is based at least in part on affinity scores associated with the edges along a sequence of nodes between the user node and the concept node in the social graph. The confidence score may be based on an overall probability that a random walk starting at the user node will end at the concept node. This overall probability may be determined by calculating, for each edge in the random walk, the probability of taking that edge during the random walk, based on the affinity score associated with that edge.

    Abstract translation: 社交网络系统的特定实施例维护存储包括用户节点,概念节点和连接节点的边缘的社交图形的一个或多个数据存储。 特定实施例可以确定相对于用户节点和概念节点的置信度得分,其中置信度得分至少部分地基于与沿着所述用户节点和所述概念节点之间的节点序列的边缘相关联的亲和度分数 社交图。 置信度分数可以基于在用户节点开始的随机游走将在概念节点处结束的总体概率。 可以通过针对随机游走中的每个边缘,基于与该边缘相关联的亲和度得分来计算在随机游走期间获取该边缘的概率来确定该整体概率。

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