公开(公告)号：US09280749B1

公开(公告)日：2016-03-08

申请号：US14048982

申请日：2013-10-08

Applicant: GOOGLE INC.

Inventor： Ian Porteous ,  Ruoyun Huang ,  Arthur Asuncion ,  Rong Ge ,  Yong Sheng ,  Jonathan Michael Krafcik ,  Xintian Yang ,  Pei Yin

IPC: G06F15/18 ,  G06N99/00

CPC classification number: G06F21/6218 ,  G06F2221/2111 ,  H04N21/251 ,  H04N21/25841 ,  H04N21/25883 ,  H04N21/4524

Abstract: A computer-implemented method for determining an attribute for an online user of a candidate computing device is provided. The method implemented uses a host computing device. The method includes identifying a first set of model data including device data from a plurality of model computing devices including location data and access data, and a plurality of categories for an attribute of a population segment including an online user. Each category defines a segment of the attribute. The method further includes training a classification model by the host computing device with at least the first set of model data and the plurality of categories. The method also includes identifying device data associated with the candidate computing device. The method further includes applying the device data of the candidate computing device to the classification model to determine a category of the plurality of categories for the online user.

Abstract translation: 提供了一种用于确定候选计算设备的在线用户的属性的计算机实现的方法。 实现的方法使用主机计算设备。 该方法包括从包括位置数据和访问数据的多个模型计算设备中识别包括设备数据的第一组模型数据，以及包括在线用户的总体段的属性的多个类别。 每个类别定义属性的一个段。 该方法还包括由主机计算设备至少训练第一组模型数据和多个类别的分类模型。 该方法还包括识别与候选计算设备相关联的设备数据。 该方法还包括将候选计算设备的设备数据应用于分类模型以确定用于在线用户的多个类别的类别。