公开(公告)号：US20170034665A1

公开(公告)日：2017-02-02

申请号：US15290916

申请日：2016-10-11

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.

Abstract translation: 提供了用于生成用户位置历史的系统和方法。 一个示例性方法包括从与用户相关联的一个或多个设备获得多个位置报告。 该方法包括聚集多个位置报告以形成多个段。 该方法包括识别多个片段中的每一个的多个位置实体。 所述方法包括为所述多个片段中的每一个确定与为所述片段标识的每个所述位置实体相关联的一个或多个特征值。 该方法包括至少部分地基于评分公式为多个区段中的每一个确定多个位置实体中的每一个的分数。 该方法包括为多个段中的每一个选择多个位置实体之一。

公开(公告)号：US09877162B2

公开(公告)日：2018-01-23

申请号：US15290916

申请日：2016-10-11

Applicant: Google Inc.

Inventor： Daniel Mark Wyatt ,  Renaud Bourassa-Denis ,  Alexander Fabrikant ,  Tanmay Sanjay Khirwadkar ,  Prathab Murugesan ,  Galen Pickard ,  Jesse Rosenstock ,  Rob Schonberger ,  Anna Teytelman

IPC: H04W24/00 ,  H04W4/02

CPC classification number: H04W4/029

Abstract: Systems and methods for generating a user location history are provided. One example method includes obtaining a plurality of location reports from one or more devices associated with the user. The method includes clustering the plurality of location reports to form a plurality of segments. The method includes identifying a plurality of location entities for each of the plurality of segments. The method includes determining, for each of the plurality of segments, one or more feature values associated with each of the location entities identified for such segment. The method includes determining, for each of the plurality of segments, a score for each of the plurality of location entities based at least in part on a scoring formula. The method includes selecting one of plurality of locations entities for each of the plurality of segments.