公开(公告)号：US20170193545A1

公开(公告)日：2017-07-06

申请号：US14984853

申请日：2015-12-30

Applicant: YAHOO! Inc.

Inventor： Ke Zhou ,  Miriam Redi ,  Mounia Lalmas ,  Puneet Mohan Sangal

IPC: G06Q30/02

CPC classification number: G06Q30/0243

Abstract: A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.

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。

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：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：US20160092576A1

公开(公告)日：2016-03-31

申请号：US14497760

申请日：2014-09-26

Applicant: Yahoo!, Inc.

Inventor： Daniele Quercia ,  Mounia Lalmas ,  Eduardo Graells

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06Q30/0631 ,  G06Q50/01

Abstract: Many content systems (e.g., social networks) present to a user a set of content items posted by other individuals. The user may selectively view content items that reinforce and are consistent with the user's perspective, creating an “echo chamber” effect. Conversely, content systems that selectively expose users to content items exhibiting contrary perspectives, and from individuals with no connection with the user, may alienate the user. Presented herein are techniques for recommending content items that present a different perspective from that of the user, and from individuals who share a similar profile to the user (e.g., alternative opinions from other individuals within the user's social circle or community). Optionally, opinions may be selected that do not directly oppose the user's perspective, but that are orthogonal with it. Such selective recommendations may persuade the user to consider contrary viewpoints that may alter the user's perspective while reducing user alienation.

Abstract translation: 许多内容系统（例如，社交网络）向用户呈现由其他个人张贴的一组内容项目。 用户可以选择性地查看加强并与用户观点一致的内容项目，从而产生“回声室”效果。 相反，选择性地将用户暴露于具有相反视角的内容项目以及与用户没有连接的个人的内容系统可能疏远用户。 这里提出的技术是用于向与用户共享相似简档的个人（例如，来自用户的社交圈或社区内的其他个人的替代意见）推荐呈现与用户不同的观点的内容项的技术。 可选地，可以选择不直接反对用户观点的意见，但是与其正交。 这样的选择性建议可以说服用户考虑可以在减少用户异化的同时改变用户观点的相反观点。