公开(公告)号：US09298831B1

公开(公告)日：2016-03-29

申请号：US14105255

申请日：2013-12-13

Applicant: Google Inc.

Inventor： Lukasz Andrzej Heldt ,  Krzysztof Duleba ,  David Robert Bailey

IPC: G06F17/30

CPC classification number: G06F17/30241 ,  G06F17/3053 ,  G06F17/30598 ,  G06F17/30601 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/3087

Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

Abstract translation: 提供了用于近似用户位置的系统和方法。 例如，可以分析历史位置数据和因特网协议地址数据以识别多个位置。 可以确定多个位置中的每一个的置信度。 可以识别形成集群的多个位置中的两个或多个位置，并且可以通过将每个置信度得分调整与集群相关联的权重来修改形成集群的两个或多个位置中的每一个的置信度分数。

公开(公告)号：US09747304B2

公开(公告)日：2017-08-29

申请号：US15054716

申请日：2016-02-26

Applicant: Google Inc.

Inventor： Lukasz Andrzej Heldt ,  Krzysztof Duleba ,  David Robert Bailey

IPC: G06F17/30

CPC classification number: G06F17/30241 ,  G06F17/3053 ,  G06F17/30598 ,  G06F17/30601 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/3087

Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

公开(公告)号：US20160179843A1

公开(公告)日：2016-06-23

申请号：US15054716

申请日：2016-02-26

Applicant: Google Inc.

Inventor： Lukasz Andrzej Heldt ,  Krzysztof Duleba ,  David Robert Bailey

IPC: G06F17/30

CPC classification number: G06F17/30241 ,  G06F17/3053 ,  G06F17/30598 ,  G06F17/30601 ,  G06F17/30864 ,  G06F17/30867 ,  G06F17/3087

Abstract: Systems and methods for approximating a user location are provided. For instance, historical location data and internet protocol address data can be analyzed to identify a plurality of locations. A confidence score for each of the plurality of locations can be determined. Two or more locations of the plurality of locations that form a cluster can be identified and the confidence scores for each of the two or more locations that form a cluster can be modified by adjusting each confidence score by a weight associated with the cluster.

Abstract translation: 提供了用于近似用户位置的系统和方法。 例如，可以分析历史位置数据和因特网协议地址数据以识别多个位置。 可以确定多个位置中的每一个的置信度。 可以识别形成集群的多个位置中的两个或多个位置，并且可以通过将每个置信度得分调整与集群相关联的权重来修改形成集群的两个或多个位置中的每一个的置信度分数。