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    • 3. 发明授权
    • System and method for determining client-based user behavioral analytics
    • 用于确定基于客户端的用户行为分析的系统和方法
    • US08751435B2
    • 2014-06-10
    • US12978119
    • 2010-12-23
    • Krishnamurthy SridharanAshok Sunder Rajan
    • Krishnamurthy SridharanAshok Sunder Rajan
    • G06F9/44
    • G06Q30/02
    • A method, system, and device for determining client-based user behavioral analytics includes monitoring for a predetermined behavioral event on a computing device. The predetermined behavioral event may be embodied as any event initiated by the user on the computing device such as the purchase of a product, selection of a web link, navigation to a website, etc. In response to an occurrence of the predetermined behavioral event, an affinity metric and an avidity metric are determined based on a frequency of the occurrences of the predetermined behavioral event. A behavioral index for the user is determined based on the affinity metric and the avidity metric. Additionally, in response to receiving a request for the behavioral index, the computing device may transmit the behavioral index to a content provider server or other remote computer and receive content from the content provider, which has been selected based on the user's behavioral index.
    • 用于确定基于客户端的用户行为分析的方法,系统和设备包括监视计算设备上的预定行为事件。 预定的行为事件可以体现为用户在计算设备上发起的任何事件,例如购买产品,选择网络链接,导航到网站等。响应于预定行为事件的发生, 基于预定行为事件发生的频率来确定关联度量和亲合度量。 基于亲和性度量和亲合性度量来确定用户的行为索引。 此外,响应于接收到行为索引的请求,计算设备可以将行为索引发送到内容提供商服务器或其他远程计算机,并且从内容提供商接收基于用户行为索引已被选择的内容。
    • 4. 发明申请
    • SYSTEM AND METHOD FOR DETERMINING CLIENT-BASED USER BEHAVIORAL ANALYTICS
    • 用于确定基于客户的用户行为分析的系统和方法
    • US20120166380A1
    • 2012-06-28
    • US12978119
    • 2010-12-23
    • Krishnamurthy SridharanAshok Sunder Rajan
    • Krishnamurthy SridharanAshok Sunder Rajan
    • G06N5/02
    • G06Q30/02
    • A method, system, and device for determining client-based user behavioral analytics includes monitoring for a predetermined behavioral event on a computing device. The predetermined behavioral event may be embodied as any event initiated by the user on the computing device such as the purchase of a product, selection of a web link, navigation to a website, etc. In response to an occurrence of the predetermined behavioral event, an affinity metric and an avidity metric are determined based on a frequency of the occurrences of the predetermined behavioral event. A behavioral index for the user is determined based on the affinity metric and the avidity metric. Additionally, in response to receiving a request for the behavioral index, the computing device may transmit the behavioral index to a content provider server or other remote computer and receive content from the content provider, which has been selected based on the user's behavioral index.
    • 用于确定基于客户端的用户行为分析的方法,系统和设备包括监视计算设备上的预定行为事件。 预定的行为事件可以体现为用户在计算设备上发起的任何事件,例如购买产品,选择网络链接,导航到网站等。响应于预定行为事件的发生, 基于预定行为事件发生的频率来确定关联度量和亲合度量。 基于亲和性度量和亲合性度量来确定用户的行为索引。 此外,响应于接收到行为索引的请求,计算设备可以将行为索引发送到内容提供商服务器或其他远程计算机,并且从内容提供商接收基于用户的行为索引已被选择的内容。