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：US20180018155A1

公开(公告)日：2018-01-18

申请号：US15642994

申请日：2017-07-06

Applicant: Google Inc.

Inventor： Shibani Sanan ,  Christopher K. Harris ,  Nicola Rettke ,  Sissie Ling-Ie Hsiao ,  Samuel Sze Ming Ieong ,  Vinod Kumar Ramachandran ,  Anthony Chavez

IPC: G06F9/445

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.

公开(公告)号：US20170148052A1

公开(公告)日：2017-05-25

申请号：US15422414

申请日：2017-02-01

Applicant: Google Inc.

Inventor： Shobhit Saxena ,  Vinod Kumar Ramachandran ,  Lu Liu ,  Shibani Sanan ,  Ying-Chieh Belinda LANGNER

IPC: G06Q30/02 ,  G06F9/445

CPC classification number: G06Q30/0246 ,  G06F8/61 ,  G06Q10/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting and utilizing conversion data are disclosed. In one aspect, the system can receive an indication of a user interaction with content item presented at a user device. Based at least in part on a device identifier of the user device being received with installation data corresponding to the installation of an application, the system can attribute a conversion of the content item to the user interaction.

公开(公告)号：US20150356597A1

公开(公告)日：2015-12-10

申请号：US14300085

申请日：2014-06-09

Applicant: Google Inc.

Inventor： Shobhit Saxena ,  David Owen Shanahan ,  Philip A. McDonnell ,  Vinod Kumar Ramachandran ,  Shibani Sanan

IPC: G06Q30/02 ,  H04L29/08

CPC classification number: G06Q30/02 ,  G06F21/6227 ,  G06Q30/0246 ,  G06Q30/0255

Abstract: Example processes may include identifying online activity associated with content from a content provider; determining a first set of identification information, where the first set of identification information identifies users corresponding to the identified online activity associated with the content from the content provider; transmitting the first set of identification information to a first service and receiving, in return, a second set of different identification information; transmitting items of the second set of different identification information to a second different service and receiving, in return, aggregated offline transaction information corresponding to a set of transactions for users that are included in the second set of different identification information; attributing transactions indicated by the aggregated offline transaction information; and providing a report to the content provider that is based on the aggregated offline transaction information.

Abstract translation: 示例性过程可以包括识别来自内容提供商的与内容相关联的在线活动; 确定第一组标识信息，其中所述第一组标识信息从所述内容提供商识别与所述内容相关联的所识别的在线活动对应的用户; 将第一组识别信息发送到第一服务，并且接收第二组不同的识别信息; 将第二组不同标识信息的项目发送到第二不同服务，并且接收返回对应于包括在第二组不同标识信息中的用户的一组交易的聚合脱机交易信息; 归因于由聚合的脱机交易信息指示的交易; 以及基于聚合的脱机事务信息向内容提供商提供报告。

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。

公开(公告)号：US08868692B1

公开(公告)日：2014-10-21

申请号：US14136684

申请日：2013-12-20

Applicant: Google Inc.

Inventor： Amit Khanna ,  Ajay Ananth Krishna ,  Prashast Khandelwal ,  Subhadip Sarkar ,  Jyotirmaya Manoj Akkad ,  Shibani Sanan

IPC: G06F15/16 ,  H04L12/24 ,  H04N21/00 ,  H04L29/06 ,  H04L29/08

CPC classification number: H04L41/0866 ,  H04L29/06863 ,  H04L29/08198 ,  H04L67/20 ,  H04L67/34 ,  H04N21/00 ,  H04N21/25833 ,  H04N21/25858 ,  H04N21/4622 ,  H04N21/6582 ,  H04N21/8173

Abstract: Systems and methods include receiving an indication of a hardware or software configuration of a client device. Content associated with a downloadable application is identified by matching installation requirements for the application to the hardware or software configuration of the device.

Abstract translation: 系统和方法包括接收客户端设备的硬件或软件配置的指示。 通过将应用程序的安装要求与设备的硬件或软件配置相匹配来识别与可下载应用程序相关联的内容。

公开(公告)号：US20140222586A1

公开(公告)日：2014-08-07

申请号：US13797597

申请日：2013-03-12

Applicant: Google Inc.

Inventor： Jonathan Ezra Feldman ,  Daniel Magassy Percival ,  Lu Liu ,  David Shanahan ,  Alice S. Tull ,  Surojit Chatterjee ,  Neil Inala ,  Jean Steiner ,  Vinod Marur ,  Shibani Sanan ,  William Martin Halpin, JR. ,  Chrix Eric Finne ,  Nicholas Johnson

IPC: G06Q30/02

CPC classification number: G06Q30/0275

Abstract: Systems and methods for suggesting a bid adjustment value based on device type include receiving parameters for a third-party content provider's campaign to present third-party content on a first type of device. Based on the campaign's parameters, bids from peer providers that use similar campaign parameters for both the first type of device and another type of device may be identified. For example, bids from providers that use similar parameters as the campaign for both mobile and desktop devices may be identified. The identified bids from the peer providers may be used to calculate a bid adjustment value. The bid adjustment value can be provided for presentation to the third-party content provider as a suggested change to his or her bid for the first type of device, to establish a bid for the second type of device.