公开(公告)号：US09363634B1

公开(公告)日：2016-06-07

申请号：US14883181

申请日：2015-10-14

Applicant: GOOGLE INC.

Inventor： Andrew Kirmse ,  Kenny J. Leftin ,  Ivan Young Lee ,  Andrew T. Wansley ,  Emanuel Taropa ,  Alec W. Berryman ,  Yaxin Liu ,  Rajesh Venkataraman

IPC: G06F17/30 ,  H04W4/02 ,  G06Q10/02 ,  G06Q50/00

CPC classification number: H04W4/02 ,  G06F17/30386 ,  G06F17/3087 ,  G06Q10/02 ,  G06Q50/01

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting context-relevant information based on large-scale aggregations of data. One of the methods includes receiving a user context of a user, wherein the user context specifies a location of a user device being used by the user. Data that represents counts of websites visited by users matching the user context is obtained. Data that represents counts of websites visited by users in general is obtained. Using the obtained counts, one or more likely websites visited by users matching the user context more frequently than by users in general is determined. Information identifying the one or more likely websites in response to receiving the user context is provided.

公开(公告)号：US09195703B1

公开(公告)日：2015-11-24

申请号：US13928828

申请日：2013-06-27

Applicant: Google Inc.

Inventor： Andrew Kirmse ,  Kenny J. Leftin ,  Ivan Young Lee ,  Andrew T. Wansley ,  Emanuel Taropa ,  Alec W. Berryman ,  Yaxin Liu ,  Rajesh Venkataraman

IPC: G06F17/30

CPC classification number: H04W4/02 ,  G06F17/30386 ,  G06F17/3087 ,  G06Q10/02 ,  G06Q50/01

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for predicting context-relevant information based on large-scale aggregations of data. One of the methods includes receiving a user context of a user, wherein the user context specifies a location of a user device being used by the user. Data that represents counts of websites visited by users matching the user context is obtained. Data that represents counts of websites visited by users in general is obtained. Using the obtained counts, one or more likely websites visited by users matching the user context more frequently than by users in general is determined. Information identifying the one or more likely websites in response to receiving the user context is provided.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于基于大规模数据聚合来预测上下文相关信息。 方法之一包括接收用户的用户上下文，其中用户上下文指定用户使用的用户设备的位置。 获取表示与用户上下文匹配的用户访问的网站的计数的数据。 一般来说，表示用户访问的网站的数量的数据。 使用所获得的计数，确定通常用户匹配用户上下文的用户访问的一个或多个可能的网站比通常用户更频繁。 提供了识别响应于接收到用户上下文的一个或多个可能的网站的信息。