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    • 22. 发明授权
    • Inferring user profile attributes from social information
    • 从社交信息中推荐用户个人资料属性
    • US08495143B2
    • 2013-07-23
    • US12916322
    • 2010-10-29
    • Ding ZhouPierre Moreels
    • Ding ZhouPierre Moreels
    • G06F15/16
    • G06N5/04G06Q10/06398G06Q10/10G06Q30/02G06Q50/01
    • 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).
    • 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)。
    • 24. 发明申请
    • INFERRING USER PROFILE ATTRIBUTES FROM SOCIAL INFORMATION
    • 从社会信息中吸取用户个人资料
    • US20120110071A1
    • 2012-05-03
    • US12916322
    • 2010-10-29
    • Ding ZhouPierre Moreels
    • Ding ZhouPierre Moreels
    • G06F15/16
    • G06N5/04G06Q10/06398G06Q10/10G06Q30/02G06Q50/01
    • 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).
    • 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)。
    • 25. 发明申请
    • RESOURCE MANAGEMENT OF SOCIAL NETWORK APPLICATIONS
    • 社会网络应用资源管理
    • US20100049852A1
    • 2010-02-25
    • US12253149
    • 2008-10-16
    • Thomas Scott WhitnahMatthew Alexander RushDing ZhouRuchi Sanghvi
    • Thomas Scott WhitnahMatthew Alexander RushDing ZhouRuchi Sanghvi
    • G06F15/173
    • H04L51/12G06F17/3053G06Q10/10H04L47/783H04L51/32H04L67/16H04L67/20H04L67/306H04L67/34
    • 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.
    • 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。