公开(公告)号：US09372914B1

公开(公告)日：2016-06-21

申请号：US14154904

申请日：2014-01-14

Applicant: Google Inc.

Inventor： Arthur Asuncion ,  Johannes Christian Schuler ,  Gregory Sean Corrado ,  Kai Chen ,  Yong Sheng

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30283

Abstract: Systems and methods of determining computing device characteristics from computer network activity are provided. A data processing system can obtain data identifying a global cluster that indicates an interest category and can create a sub-cluster of the global cluster based on a characteristic common to content access computing devices. A weight indicating a correlation between the characteristic common to content access computing devices and the interest category can be assigned to the sub-cluster. Responsive to a communication between a first content access computing device and a content publisher computing device, the data processing system can identify a characteristic. The data processing system can associate the first content access computing device with the sub-cluster based on the characteristic of the first content access computing device and the characteristic common to the content access computing devices, and based on the weight can determine a status of the first content access computing device.

Abstract translation: 提供了从计算机网络活动确定计算设备特性的系统和方法。 数据处理系统可以获得标识指示感兴趣类别的全局集群的数据，并且可以基于内容访问计算设备公用的特征来创建全局集群的子集群。 指示与内容访问计算设备共同的特征与兴趣类别之间的相关性的权重可被分配给子群集。 响应于第一内容访问计算设备和内容发布者计算设备之间的通信，数据处理系统可以识别特性。 数据处理系统可以基于第一内容访问计算设备的特性和内容访问计算设备共同的特征将第一内容访问计算设备与子群集相关联，并且基于权重可以确定 第一内容访问计算设备。