公开(公告)号：US20170004542A1

公开(公告)日：2017-01-05

申请号：US14755483

申请日：2015-06-30

Applicant: Yahoo! Inc.

Inventor： Ayman Farahat ,  Mounia Lalmas ,  Gabriele Tolomei

IPC: G06Q30/02 ,  G06F3/0481

CPC classification number: G06Q30/0273 ,  G06F3/0481 ,  G06Q10/067 ,  G06Q30/0246 ,  G06Q30/0275

Abstract: The present teaching relates to providing content supply adjustment. A first dataset associated with user interactions directed to one or more content items placed on a target property and a second dataset associated with user interactions directed to the one or more content items places on a reference property are received for evaluation. Further, a cost of placing the one or more content items on the target property is determined based on the first and second datasets.

Abstract translation: 本教学涉及提供内容供应调整。 接收与针对放置在目标属性上的一个或多个内容项目的用户交互相关联的第一数据集，以及与指向参考属性上的一个或多个内容项目的用户交互相关联的第二数据集，用于评估。 此外，基于第一和第二数据集确定将一个或多个内容项目放置在目标属性上的成本。

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.

公开(公告)号：US20170004541A1

公开(公告)日：2017-01-05

申请号：US14755399

申请日：2015-06-30

Applicant: Yahoo! Inc.

Inventor： Gabriele Tolomei ,  Ayman Farahat ,  Mounia Lalmas

IPC: G06Q30/02 ,  G06Q10/06

CPC classification number: G06Q30/0273 ,  G06F3/0481 ,  G06Q10/067 ,  G06Q30/0246 ,  G06Q30/0275

Abstract: The present teaching relates to analyzing user behavior associated with web contents. Information related to user interactions associated with a content item placed on a reference property is first obtained. A measurement associated with each user interaction of the content item is determined based on the obtained information. An analyzing model for the content item which characterizes statistics of the measurements associated with the content item is further constructed. A measurement threshold to be used to determine a cost of placing the content item on a target property is further determined using the constructed analyzing model.

Abstract translation: 本教学涉及分析与网页内容相关的用户行为。 首先获得与放置在引用属性上的内容项相关联的用户交互相关的信息。 基于所获得的信息来确定与内容项目的每个用户交互相关联的测量。 进一步构建表征与内容项目相关联的测量的统计信息的内容项目的分析模型。 使用构建的分析模型进一步确定用于确定将内容项置于目标属性上的成本的测量阈值。