公开(公告)号：US20140189525A1

公开(公告)日：2014-07-03

申请号：US13730305

申请日：2012-12-28

Applicant: YAHOO! INC.

Inventor： Michele Trevisiol ,  Luca Aiello ,  Luca Chiarandini ,  Alejandro Jaimes

IPC: G06F3/0481

CPC classification number: G06F17/30899 ,  G06F3/0481 ,  G06F17/30 ,  G06F17/30705 ,  G06F17/30876 ,  H04L67/306

Abstract: A method for tailoring content in a web page is provided. There is a relationship between the source domain a user comes from and the behavior pattern of a user on a website. To predict the behavior patterns of a particular user coming from a particular source domain, first a large dataset is compiled from user logs. Second, session analysis is performed on the dataset to identify sessions, session characteristics, page view categories, and source categories. Third, sessions are clustered and analyzed to determine how the behavior changes according to a source category. Fourth, a mapping between source categories and behavior patterns is generated. When a user requests a page view from a source domain, if the source domain is mapped to a source category, then a tailored version of the page view is presented to the user based on the mapping between source categories and behavior patterns.

Abstract translation: 提供了一种用于定制网页中的内容的方法。 用户来源的域和用户在网站上的行为模式之间存在关系。 要预测来自特定源域的特定用户的行为模式，首先从用户日志编译大型数据集。 第二，对数据集执行会话分析，以识别会话，会话特征，页面浏览类别和源类别。 第三，聚会和分析会话以确定行为如何根据源类别而改变。 第四，生成源类别和行为模式之间的映射。 当用户从源域请求页面视图时，如果源域被映射到源类别，则基于源类别和行为模式之间的映射，向用户呈现定制版本的页面视图。

公开(公告)号：US09405746B2

公开(公告)日：2016-08-02

申请号：US13730305

申请日：2012-12-28

Applicant: Yahoo! Inc.

Inventor： Michele Trevisiol ,  Luca Aiello ,  Luca Chiarandini ,  Alejandro Jaimes

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F17/30899 ,  G06F3/0481 ,  G06F17/30 ,  G06F17/30705 ,  G06F17/30876 ,  H04L67/306

Abstract: A method for tailoring content in a web page is provided. There is a relationship between the source domain a user comes from and the behavior pattern of a user on a website. To predict the behavior patterns of a particular user coming from a particular source domain, first a large dataset is compiled from user logs. Second, session analysis is performed on the dataset to identify sessions, session characteristics, page view categories, and source categories. Third, sessions are clustered and analyzed to determine how the behavior changes according to a source category. Fourth, a mapping between source categories and behavior patterns is generated. When a user requests a page view from a source domain, if the source domain is mapped to a source category, then a tailored version of the page view is presented to the user based on the mapping between source categories and behavior patterns.

Abstract translation: 提供了一种用于定制网页中的内容的方法。 用户来源的域和用户在网站上的行为模式之间存在关系。 要预测来自特定源域的特定用户的行为模式，首先从用户日志编译大型数据集。 第二，对数据集执行会话分析，以识别会话，会话特征，页面浏览类别和源类别。 第三，聚会和分析会话以确定行为如何根据源类别而改变。 第四，生成源类别和行为模式之间的映射。 当用户从源域请求页面视图时，如果源域被映射到源类别，则基于源类别和行为模式之间的映射，向用户呈现定制版本的页面视图。

公开(公告)号：US20170154356A1

公开(公告)日：2017-06-01

申请号：US14954118

申请日：2015-11-30

Applicant: Yahoo! Inc.

Inventor： Michele Trevisiol ,  Gabriele Tolomei ,  Nicola Barbieri ,  Mounia Lalmas ,  Puneet Mohan Sangal ,  Fabrizio Silvestri

IPC: G06Q30/02

Abstract: An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.