公开(公告)号：US09286569B2

公开(公告)日：2016-03-15

申请号：US13953548

申请日：2013-07-29

Applicant: YAHOO! INC.

Inventor： Joshua M. Koran ,  Christina Yip Chung ,  Abhinav Gupta ,  George H. John ,  Hongfeng Yin ,  Long-Ji Lin ,  Richard Frankel

IPC: G06F17/30 ,  G06N5/02 ,  G06Q30/02

CPC classification number: G06Q30/0255 ,  G06F17/3053 ,  G06F17/30702 ,  G06F17/30761 ,  G06F17/30914 ,  G06N5/02 ,  G06Q10/067 ,  G06Q30/02

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

公开(公告)号：US20140200999A1

公开(公告)日：2014-07-17

申请号：US13739400

申请日：2013-01-11

Applicant: YAHOO! INC.

Inventor： John Canny ,  Shi Zhong ,  Scott Gaffney ,  Chad Brower ,  Pavel Berkhin ,  George H. John

IPC: G06Q30/02

CPC classification number: G06Q30/0251 ,  G06F17/00 ,  G06N5/02

Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

Abstract translation: 定向的方法接收几个粒度事件并预处理所接收的粒状事件，从而生成预处理的数据，以便于基于粒状事件构建模型。 该方法通过使用预处理数据生成预测模型。 预测模型用于确定用户动作的可能性。 该方法训练预测模型。 用于定位的系统包括粒状事件，用于接收粒度事件的预处理器，模型生成器和模型。 预处理器具有一个或多个用于修剪，聚合，聚类和/或过滤中的至少一个的模块。 模型生成器用于基于粒度事件构建模型，模型用于确定用户操作的可能性。 一些实施例的系统还包括若干用户，用于从几个用户中选择特定用户组的选择器，训练模型和评分模块。

公开(公告)号：US20170140424A9

公开(公告)日：2017-05-18

申请号：US13739400

申请日：2013-01-11

Applicant: YAHOO! INC.

Inventor： John Canny ,  Shi Zhong ,  Scott Gaffney ,  Chad Brower ,  Pavel Berkhin ,  George H. John

IPC: G06Q30/02

CPC classification number: G06Q30/0251 ,  G06F17/00 ,  G06N5/02

Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

公开(公告)号：US20160180388A1

公开(公告)日：2016-06-23

申请号：US15055944

申请日：2016-02-29

Applicant: YAHOO! INC.

Inventor： Joshua M. Koran ,  Christina Yip Chung ,  Abhinav Gupta ,  George H. John ,  Hongfeng Yin ,  Long-ji Lin ,  Richard Frankel

IPC: G06Q30/02 ,  G06Q10/06 ,  G06F17/30

CPC classification number: G06Q30/0255 ,  G06F17/3053 ,  G06F17/30702 ,  G06F17/30761 ,  G06F17/30914 ,  G06N5/02 ,  G06Q10/067 ,  G06Q30/02

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

公开(公告)号：US20130318024A1

公开(公告)日：2013-11-28

申请号：US13953548

申请日：2013-07-29

Applicant: YAHOO! INC.

Inventor： Joshua M. Koran ,  Christina Yip Chung ,  Abhinav Gupta ,  George H. John ,  Hongfeng Yin ,  Long-Ji Lin ,  Richard Frankel

IPC: G06N5/02

CPC classification number: G06Q30/0255 ,  G06F17/3053 ,  G06F17/30702 ,  G06F17/30761 ,  G06F17/30914 ,  G06N5/02 ,  G06Q10/067 ,  G06Q30/02

Abstract: A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.

Abstract translation: 行为定位系统从在线活动确定用户个人资料。 该系统包括多个模型，其定义用于确定用户简档分数的参数。 事件信息，包括用户的在线活动，在一个实体被接收。 要生成用户配置文件分数，选择一个模型。 该模型包括新近度，强度和频率尺寸参数。 行为定位系统为目标目标生成用户简档分数，例如品牌广告或直接响应广告。 应用来自模型的参数以在类别中生成用户简档分数。 行为定位系统具有在在线用户的广告投放中使用的应用。