公开(公告)号：US08935194B2

公开(公告)日：2015-01-13

申请号：US13767695

申请日：2013-02-14

Applicant: Yahoo! Inc.

Inventor： Anirban Dasgupta ,  Liang Zhang ,  Maxim Gurevich ,  Achint Oommen Thomas ,  Belle Tseng

IPC: G06N5/02 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06N99/005 ,  G06N7/005

Abstract: Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

Abstract translation: 实施例针对用于识别用于将网络上的活动与给定移动设备相关联的唯一移动设备的聚类cookie。 基于由已知移动设备的cookie特征训练的贝叶斯因子相似性模型，cookie是聚类的。 群集可用于确定访问网站的唯一移动设备的数量。 集群也可以用于向每个唯一移动设备提供有针对性的内容。

公开(公告)号：US20130159227A1

公开(公告)日：2013-06-20

申请号：US13767695

申请日：2013-02-14

Applicant: Yahoo! Inc.

Inventor： Anirban Dasgupta ,  Liang Zhang ,  Maxim Gurevich ,  Achint Oommen Thomas ,  Belle Tseng

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06N7/005

Abstract: Embodiments are directed towards clustering cookies for identifying unique mobile devices for associating activities over a network with a given mobile device. The cookies are clustered based on a Bayes Factor similarity model that is trained from cookie features of known mobile devices. The clusters may be used to determine the number of unique mobile devices that access a website. The clusters may also be used to provide targeted content to each unique mobile device.

Abstract translation: 实施例针对用于识别用于将网络上的活动与给定移动设备相关联的唯一移动设备的聚类cookie。 基于由已知移动设备的cookie特征训练的贝叶斯因子相似性模型，cookie是聚类的。 群集可用于确定访问网站的唯一移动设备的数量。 集群也可以用于向每个唯一移动设备提供有针对性的内容。