公开(公告)号：US10091314B1

公开(公告)日：2018-10-02

申请号：US15690073

申请日：2017-08-29

Applicant: Google Inc.

Inventor： Amit Khanna ,  Philip Andrew McDonnell ,  Prashast Khandelwal ,  Puneet Gupta ,  Shibani Sanan ,  Shun Kawamura ,  Subhadip Sarkar

IPC: G06F15/173 ,  H04L29/08

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

公开(公告)号：US09923979B2

公开(公告)日：2018-03-20

申请号：US13929217

申请日：2013-06-27

Applicant: Google Inc.

Inventor： Amit Khann ,  Philip Andrew McDonnell ,  Prashast Khandelwal ,  Puneet Gupta ,  Shibani Sanan ,  Shun Kawamura ,  Subhadip Sarkar

IPC: G06F15/173 ,  H04L29/08

CPC classification number: H04L67/22 ,  H04L67/18

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

公开(公告)号：US20150006712A1

公开(公告)日：2015-01-01

申请号：US13929217

申请日：2013-06-27

Applicant: Google Inc.

Inventor： Amit Khann ,  Philip Andrew McDonnell ,  Prashast Khandelwal ,  Puneet Gupta ,  Shibani Sanan ,  Shun Kawamura ,  Subhadip Sarkar

IPC: H04L29/08

CPC classification number: H04L67/22 ,  H04L67/18

Abstract: Systems and methods of determining a geographic location based conversion via a computer network. A data processing system can receive, from a computing device, an indication of interest in an online content item that is associated with a commercial entity having a location. The system can also receive data points that each include time information and location information of a computing device. The system can generate a valid cluster indicating an activity at the location of the commercial entity by evaluating the time information and the location information of two or more data points with a duration threshold and a location threshold. The system can use the valid cluster to identify the indication of interest in the online content item as the location based conversion based on the activity at the location of the commercial entity.

Abstract translation: 通过计算机网络确定基于地理位置的转换的系统和方法。 数据处理系统可以从计算设备接收与具有位置的商业实体相关联的在线内容项目中的感兴趣的指示。 系统还可以接收各自包括计算设备的时间信息和位置信息的数据点。 系统可以通过评估具有持续时间阈值和位置阈值的两个或多个数据点的时间信息和位置信息来生成指示商业实体位置处的活动的有效集群。 该系统可以使用有效的集群来基于在商业实体的位置处的活动来将在线内容项目中感兴趣的指示识别为基于位置的转换。

公开(公告)号：US20150006279A1

公开(公告)日：2015-01-01

申请号：US13929235

申请日：2013-06-27

Applicant: Google Inc.

Inventor： Amit Khann ,  Philip Andrew McDonnell ,  Prashast Khandelwal ,  Puneet Gupta ,  Shibani Sanan ,  Shun Kawamura ,  Subhadip Sarkar

IPC: G06Q30/02

CPC classification number: G06Q30/0246

Abstract: Systems and methods of generating a valid cluster based on a location of a commercial entity via a computer network. A data processing system can receive the location of the commercial entity from an online content selection data structure, and can receive data points that comprise location information and time information associated with an identifier. Using the data points, the data processing system can create a location cluster having a first data point and subsequent data points that are within a threshold distance from the first data point. The data processing system can determine a cluster duration for each location and compare the cluster duration with a duration threshold to identify a set of valid location clusters. The valid location clusters can be filtered based on a proximity to the location of the commercial entity to identify a valid cluster that can be indicative of activity at the commercial entity.

Abstract translation: 基于通过计算机网络的商业实体的位置生成有效集群的系统和方法。 数据处理系统可以从在线内容选择数据结构接收商业实体的位置，并且可以接收包括与标识符相关联的位置信息和时间信息的数据点。 使用数据点，数据处理系统可以创建具有第一数据点和距离第一数据点的阈值距离内的后续数据点的位置集群。 数据处理系统可以确定每个位置的集群持续时间，并将集​​群持续时间与持续时间阈值进行比较，以识别一组有效位置集群。 可以基于与商业实体的位置的接近度来过滤有效的位置集群，以识别可以指示商业实体的活动的有效集群。