公开(公告)号：US20170097982A1

公开(公告)日：2017-04-06

申请号：US15379451

申请日：2016-12-14

Applicant: Google Inc.

Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

IPC: G06F17/30 ,  G06N5/02 ,  H04L29/08

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

公开(公告)号：US09529861B2

公开(公告)日：2016-12-27

申请号：US14664682

申请日：2015-03-20

Applicant: GOOGLE INC.

Inventor： Jeffrey C Reynar ,  Kushal B Dave ,  Eric S Flatt ,  Michael Stuart Gordon ,  Jeremy A Hylton ,  James K Scott ,  Oren Eli Zamir ,  Jeffrey L Korn

IPC: G06F17/30 ,  G06Q30/02 ,  G06F9/00

CPC classification number: G06F17/3053 ,  G06F9/00 ,  G06F17/30321 ,  G06F17/30867 ,  G06F17/30882 ,  G06Q30/02

Abstract: Computers and methods are provided for receiving a search request sent by a computer associated with a user. A set of documents comprising a plurality of documents that satisfy the search request is identified. At least some documents in the plurality of documents have previously been annotated by at least one user of a plurality of users. A response to the search request is sent. The response includes a ranked set of links to at least some of the plurality of documents that satisfy the search request. At least some of the links are to documents that have previously been annotated by at least one user of the plurality of users. The response is associated with instructions to display one or more corresponding annotations for at least some of the links to documents that have previously been annotated by at least one user of the plurality of users. The response is further associated with instructions to display a filter selector including one or more filter options to reduce the identified set of documents.

Abstract translation: 提供计算机和方法用于接收由与用户相关联的计算机发送的搜索请求。 识别包括满足搜索请求的多个文档的一组文档。 多个文档中的至少一些文档先前已被多个用户的至少一个用户注释。 发送对搜索请求的响应。 响应包括到达满足搜索请求的多个文档中的至少一些的链接的排序集合。 至少一些链接是指先前已由多个用户中的至少一个用户注释的文档。 所述响应与用于向至少一些先前已由所述多个用户的至少一个用户注释的文档的链接显示一个或多个相应注释的指令相关联。 响应进一步与用于显示包括一个或多个过滤器选项的过滤器选择器的指令相关联，以减少所识别的一组文档。

公开(公告)号：US10789276B2

公开(公告)日：2020-09-29

申请号：US15379451

申请日：2016-12-14

Applicant: Google Inc.

Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

IPC: G06F16/28 ,  H04L29/08 ,  G06F16/583 ,  G06F16/9535 ,  G06N5/02

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

公开(公告)号：US20150186385A1

公开(公告)日：2015-07-02

申请号：US14664682

申请日：2015-03-20

Applicant: Google Inc.

Inventor： Jeffrey C. Reynar ,  Kushal B. Dave ,  Eric S. Flatt ,  Michael Stuart Gordon ,  Jeremy A. Hylton ,  James K. Scott ,  Oren Eli Zamir ,  Jeffrey L. Corn

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F9/00 ,  G06F17/30321 ,  G06F17/30867 ,  G06F17/30882 ,  G06Q30/02

Abstract: Computers and methods are provided for receiving a search request sent by a computer associated with a user. A set of documents comprising a plurality of documents that satisfy the search request is identified. At least some documents in the plurality of documents have previously been annotated by at least one user of a plurality of users. A response to the search request is sent. The response includes a ranked set of links to at least some of the plurality of documents that satisfy the search request. At least some of the links are to documents that have previously been annotated by at least one user of the plurality of users. The response is associated with instructions to display one or more corresponding annotations for at least some of the links to documents that have previously been annotated by at least one user of the plurality of users. The response is further associated with instructions to display a filter selector including one or more filter options to reduce the identified set of documents.

Abstract translation: 提供计算机和方法用于接收由与用户相关联的计算机发送的搜索请求。 识别包括满足搜索请求的多个文档的一组文档。 多个文档中的至少一些文档先前已被多个用户的至少一个用户注释。 发送对搜索请求的响应。 响应包括到达满足搜索请求的多个文档中的至少一些的链接的排序集合。 至少一些链接是指先前已由多个用户中的至少一个用户注释的文档。 所述响应与用于向至少一些先前已由所述多个用户的至少一个用户注释的文档的链接显示一个或多个相应注释的指令相关联。 响应进一步与用于显示包括一个或多个过滤器选项的过滤器选择器的指令相关联，以减少所识别的一组文档。

公开(公告)号：US20140032665A1

公开(公告)日：2014-01-30

申请号：US13853775

申请日：2013-03-29

Applicant: GOOGLE INC.

Inventor： Aitan Weinberg ,  Di-Fa Chang ,  Oren Eli Zamir ,  Qing Xu ,  Anusha Sriraman ,  Eu-Jin Goh ,  Alok Aggarwal

IPC: H04L29/08

CPC classification number: H04L67/22 ,  G06Q30/0277 ,  H04L67/02 ,  H04L67/20

Abstract: A computer-implemented method includes receiving a computer-implemented model adapted to process past online behavior of a user identifier of a networked computing device and determine an online activity type associated with the user identifier based on the past online behavior of the user identifier. The method also includes receiving data representing past online behavior of the user identifier of the networked computing device. The method also includes processing the model and the data representing past online behavior of the user identifier of the network computing device to determine an online activity type associated with the user identifier. The method also includes and providing information about the online activity type to a content selection server to facilitate selection of content to be presented to the user identifier.

Abstract translation: 计算机实现的方法包括接收适于处理网络计算设备的用户标识符的过去在线行为的计算机实现的模型，并且基于用户标识符的过去在线行为来确定与用户标识符相关联的在线活动类型。 该方法还包括接收表示网络计算设备的用户标识符的过去在线行为的数据。 该方法还包括处理模型和表示网络计算设备的用户标识符的过去在线行为的数据，以确定与用户标识符相关联的在线活动类型。 该方法还包括向内容选择服务器提供关于在线活动类型的信息，以便于选择要呈现给用户标识符的内容。

公开(公告)号：US09549017B2

公开(公告)日：2017-01-17

申请号：US13831110

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

IPC: H04L29/08 ,  G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30867 ,  G06N5/02 ,  H04L67/02 ,  H04L67/20 ,  H04L67/303

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract translation: 用兴趣数据预测内容表现的系统和方法包括接收包括客户标识符的内容选择请求。 可以将与客户端标识符相关联的一个或多个主题兴趣类别用作预测模型的输入，以预测作为选择的第三方内容的结果发生在线动作的可能性。 预测的可能性可用于选择第三方内容。

公开(公告)号：US20140032334A1

公开(公告)日：2014-01-30

申请号：US13853755

申请日：2013-03-29

Applicant: GOOGLE INC.

Inventor： Aitan Y. Weinberg ,  Oren Eli Zamir ,  Qing Xu ,  Anusha Sriraman ,  Eu-Jin Goh ,  Alok Aggarwal

IPC: G06Q30/02

CPC classification number: G06Q30/0275

Abstract: A computer-implemented method includes receiving a computer-implemented model to process parameters of a content delivery campaign and a bid price for delivery of content in content delivery slots. The price to be paid is based on a losing bid. Processing the parameters and bid price determines an estimated price to be paid for the delivery of content and a metric describing an estimated result of the content delivery campaign. The method also includes receiving parameters of the content delivery campaign and the price to be bid for delivery of content. The method also includes processing the model and the price to be bid to determine the estimated price to be paid and the metric describing the estimated result of the content delivery campaign. The method also includes providing information about the estimated price and the estimated result to a content provider to facilitate selection of a final bid price.

Abstract translation: 计算机实现的方法包括接收计算机实现的模型以处理内容传送活动的参数和用于在内容传送时隙中传送内容的投标价格。 要支付的价格是基于失败的投标。 处理参数和投标价格决定了用于交付内容的估计价格和描述内容传送活动的估计结果的度量。 该方法还包括接收内容传送活动的参数和要发送内容的价格。 该方法还包括处理模型和要出价的价格以确定要支付的估计价格和描述内容交付活动的估计结果的度量。 该方法还包括向内容提供商提供关于估计价格和估计结果的信息以便于选择最终投标价格。

公开(公告)号：US20140068011A1

公开(公告)日：2014-03-06

申请号：US13831110

申请日：2013-03-14

Applicant: GOOGLE INC.

Inventor： Xiaonan Zhang ,  Shankar Ponnekanti ,  Oren Eli Zamir ,  Ting Liu

IPC: H04L29/08

CPC classification number: G06F17/30598 ,  G06F17/30253 ,  G06F17/30256 ,  G06F17/30867 ,  G06N5/02 ,  H04L67/02 ,  H04L67/20 ,  H04L67/303

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract translation: 用兴趣数据预测内容表现的系统和方法包括接收包括客户标识符的内容选择请求。 可以将与客户端标识符相关联的一个或多个主题兴趣类别用作预测模型的输入，以预测作为选择的第三方内容的结果发生在线动作的可能性。 预测的可能性可用于选择第三方内容。