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公开(公告)号：US20150213507A1
公开(公告)日：2015-07-30
申请号：US14680984
申请日：2015-04-07
Applicant: Facebook, Inc.
Inventor： Ding Zhou
CPC classification number: G06Q30/0269 , G06Q30/0203 , G06Q30/0251 , G06Q30/0252 , G06Q30/0255 , G06Q30/0277 , G06Q50/01
Abstract: A social networking system extends the reach of an ad by allowing an advertiser to seed a search for suggesting targeting criteria for an ad. Using the seeds, the social networking system identifies a set of seed objects from a social graph. The social networking system traverses the social graph to compute the similarity between the seed objects and candidate objects related to the seed objects. Based on the computed similarity, the social networking system suggests a set of target objects to the advertiser. The social networking system receives a selection of one or more target objects from the advertiser. From the selected target objects the social networking system determines one or more targeting criteria for the ad, so users with an edge in the social graph to any of the selected target objects are eligible to receive the ad.
Abstract translation: 一个社交网络系统通过允许广告客户搜索广告的建议定位标准来搜索广告，从而扩大广告的覆盖范围。 使用种子，社交网络系统从社交图中识别一组种子对象。 社交网络系统遍历社交图，计算种子对象和与种子对象相关的候选对象之间的相似度。 基于计算出的相似度，社交网络系统向广告客户建议一组目标对象。 社交网络系统从广告商接收一个或多个目标对象的选择。 从选定的目标对象中，社交网络系统确定广告的一个或多个定位条件，因此在社交图中具有边缘的用户对任何所选目标对象都有资格接收广告。
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公开(公告)号：US20140372358A1
公开(公告)日：2014-12-18
申请号：US14473798
申请日：2014-08-29
Applicant: Facebook, Inc.
Inventor： Ding Zhou , Pierre Moreels
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).
Abstract translation: 基于关于用户在社交网络系统中的连接的用户简档的信息来推断用于社交网络系统的用户的用户简档信息。 推断的用户简档属性可以包括年龄，性别，教育，附属，位置等。 为了推断用户简档属性的值，系统可以基于用户连接的属性来确定聚合值。 置信度分数也可能与推断的属性值相关联。 分析用于推断用户配置文件属性的一组连接可能取决于属性，连接类型以及用户与连接之间的交互。 推断的属性值可以用于更新用户的简档并且确定与要呈现给用户的用户相关的信息（例如，基于用户推断的属性来定位到用户的广告）。
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公开(公告)号：US08856235B2
公开(公告)日：2014-10-07
申请号：US13945615
申请日：2013-07-18
Applicant: Facebook, Inc.
Inventor： Ding Zhou , Pierre Moreels
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).
Abstract translation: 基于关于用户在社交网络系统中的连接的用户简档的信息来推断用于社交网络系统的用户的用户简档信息。 推断的用户简档属性可以包括年龄，性别，教育，附属，位置等。 为了推断用户简档属性的值，系统可以基于用户连接的属性来确定聚合值。 置信度分数也可能与推断的属性值相关联。 分析用于推断用户配置文件属性的一组连接可能取决于属性，连接类型以及用户与连接之间的交互。 推断的属性值可以用于更新用户的简档并且确定与要呈现给用户的用户相关的信息（例如，基于用户推断的属性来定位到用户的广告）。
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公开(公告)号：US10389664B2
公开(公告)日：2019-08-20
申请号：US15727395
申请日：2017-10-06
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
IPC: H04L12/58 , G06F16/2457 , G06Q10/10 , H04L29/08 , H04L12/911
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
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公开(公告)号：US09276894B2
公开(公告)日：2016-03-01
申请号：US14457483
申请日：2014-08-12
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
IPC: G06F15/173 , H04L12/58 , G06Q10/10 , H04L29/08 , G06F17/30 , H04L12/911
CPC classification number: H04L51/12 , G06F17/3053 , G06Q10/10 , H04L47/783 , H04L51/32 , H04L67/16 , H04L67/20 , H04L67/306 , H04L67/34
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
Abstract translation: 社交网络中的应用通过各种渠道（如通知，新闻馈送等）来支持成员之间的互动。 对于每个通道，应用程序根据用户亲和度测量进行排名。 用户关联性基于用户测量由应用程序生成的消息的发送者和收件人的正面和负面交互。 针对应用程序提供的不同类型的消息和交互计算度量。 对于每个渠道，应用程序根据指标的特定加权组合来接收用户关联度分数。 应用程序使用信道资源发送消息以增加用户群。 鉴于可用的大量应用程序，允许应用程序允许使用通道的程度受到控制，从而限制了其资源消耗。 用于为频道计算的应用程序的用户亲和度分数用于决定应用程序的信道资源分配。
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Patent Agency Ranking
公开(公告)号：US20180034758A1
公开(公告)日：2018-02-01
申请号：US15727395
申请日：2017-10-06
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
IPC: H04L12/58 , H04L29/08 , G06Q10/10 , H04L12/911 , G06F17/30
CPC classification number: H04L51/12 , G06F16/24578 , G06Q10/10 , H04L47/783 , H04L51/32 , H04L67/16 , H04L67/20 , H04L67/306 , H04L67/34
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
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公开(公告)号：US09832150B2
公开(公告)日：2017-11-28
申请号：US15006004
申请日：2016-01-25
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
IPC: G06F15/173 , H04L12/58 , G06Q10/10 , H04L29/08 , G06F17/30 , H04L12/911
CPC classification number: H04L51/12 , G06F17/3053 , G06Q10/10 , H04L47/783 , H04L51/32 , H04L67/16 , H04L67/20 , H04L67/306 , H04L67/34
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
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公开(公告)号：US20160142354A1
公开(公告)日：2016-05-19
申请号：US15006004
申请日：2016-01-25
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
CPC classification number: H04L51/12 , G06F17/3053 , G06Q10/10 , H04L47/783 , H04L51/32 , H04L67/16 , H04L67/20 , H04L67/306 , H04L67/34
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
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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.
Inventor： Ding Zhou , Pierre Moreels
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).
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公开(公告)号：US20140351343A1
公开(公告)日：2014-11-27
申请号：US14457483
申请日：2014-08-12
Applicant: Facebook, Inc.
Inventor： Thomas Scott Whitnah , Alexander Matthew Rush , Ding Zhou , Ruchi Sanghvi
IPC: H04L12/58 , H04L12/911 , G06F17/30
CPC classification number: H04L51/12 , G06F17/3053 , G06Q10/10 , H04L47/783 , H04L51/32 , H04L67/16 , H04L67/20 , H04L67/306 , H04L67/34
Abstract: Applications in social networks support interaction between members through various types of channels such as notifications, newsfeed, and so forth. For each channel, applications are ranked based on their user affinity measures. User affinity is based on measuring positive and negative interactions by users as both senders and recipients of messages generated by applications. Metrics are computed for the different types of messages and interactions provided by applications. For each channel, an application receives user affinity score based on specific weighted combination of the metrics. Applications use channel resources to send messages to increase their user base. Given the large number of applications that are available, the extent to which applications are allowed to use channels is controlled, limiting their resource consumption. User affinity scores of applications calculated for a channel are used to decide the allocation of channel resources for an application.
Abstract translation: 社交网络中的应用通过各种渠道（如通知，新闻馈送等）来支持成员之间的互动。 对于每个通道，应用程序根据用户亲和度测量进行排名。 用户关联性基于用户测量由应用程序生成的消息的发送者和收件人的正面和负面交互。 针对应用程序提供的不同类型的消息和交互计算度量。 对于每个渠道，应用程序根据指标的特定加权组合来接收用户关联度分数。 应用程序使用信道资源发送消息以增加用户群。 鉴于可用的大量应用程序，允许应用程序允许使用通道的程度受到控制，从而限制了其资源消耗。 用于为频道计算的应用程序的用户亲和度分数用于决定应用程序的信道资源分配。
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