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    • 1. 发明申请
    • Determining User Affinity Towards Applications on a Social Networking Website
    • 确定用户对社交网站应用程序的亲和力
    • US20100049534A1
    • 2010-02-25
    • US12194511
    • 2008-08-19
    • Thomas Scott WhitnahAlexander Matthew RushDing ZhouRuchi Sanghvi
    • Thomas Scott WhitnahAlexander Matthew RushDing ZhouRuchi Sanghvi
    • G06Q99/00
    • G06Q30/02G06Q50/01H04L67/22H04L67/306
    • Applications in social networks support interaction between members through various types of channels such as email, 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 the number of messages allowed for an application for a channel.
    • 社交网络中的应用程序通过各种渠道(如电子邮件,通知,新闻馈送等)来支持会员之间的互动。 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。 用于频道计算的应用程序的用户亲和度分数用于决定频道应用允许的消息数量的分配。
    • 2. 发明授权
    • Resource management of social network applications
    • 社会网络应用的资源管理
    • US08868752B2
    • 2014-10-21
    • US13617537
    • 2012-09-14
    • Thomas Scott WhitnahAlexander Matthew RushDing ZhouRuchi Sanghvi
    • Thomas Scott WhitnahAlexander Matthew RushDing ZhouRuchi Sanghvi
    • G06F15/173G06Q10/10H04L12/58H04L29/08
    • 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。
    • 3. 发明授权
    • Resource management of social network applications
    • 社会网络应用的资源管理
    • US08307086B2
    • 2012-11-06
    • US12253149
    • 2008-10-16
    • Thomas Scott WhitnahAlexander Matthew RushDing ZhouRuchi Sanghvi
    • Thomas Scott WhitnahAlexander Matthew 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。
    • 4. 发明申请
    • RESOURCE MANAGEMENT OF SOCIAL NETWORK APPLICATIONS
    • 社会网络应用资源管理
    • US20130013691A1
    • 2013-01-10
    • US13617537
    • 2012-09-14
    • Thomas Scott WhitnahMatthew Alexander RushDing ZhouRuchi Sanghvi
    • Thomas Scott WhitnahMatthew Alexander RushDing ZhouRuchi Sanghvi
    • G06F15/16
    • 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。
    • 5. 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。