公开(公告)号：US20170098283A1

公开(公告)日：2017-04-06

申请号：US14875186

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Suju Rajan ,  Liangjie Hong ,  Nathan Liu ,  Scott Gaffney

IPC: G06Q50/00 ,  H04L12/58 ,  G06F17/30

CPC classification number: G06Q50/01 ,  G06F16/951 ,  H04L51/32

Abstract: The present teaching, which includes methods, systems and computer-readable media, relates to providing content from multiple disparate sources including a person's personal data sources and non-personal data sources. The disclosed techniques may include receiving a request for content from a person; obtaining first content from a first source private to the person based on the request; obtaining second content from at least one second source based on the request; blending the first content from the first source and the second content from the at least one second source to generate a blended content; and providing the blended content to the person in response to the request.

公开(公告)号：US20170098261A1

公开(公告)日：2017-04-06

申请号：US14874528

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Prateeksha Uday Chandraghatgi ,  Conrad Wai ,  Scott Gaffney

IPC: G06Q30/06

CPC classification number: G06Q30/0611

Abstract: The present teaching relates to online task exchange. In one example, information related to a task automatically created based on an intent of a person is received. The task is posted to a plurality of parties that are capable of completing the task. One or more bids are received from at least some of the plurality of parties. At least one winning bid is selected from the one or more bids based on at least one criterion. Information indicative of a status as to completion of the task is received. Resource is allocated to the at least one winning bid based on the status.

公开(公告)号：US20170098168A1

公开(公告)日：2017-04-06

申请号：US14874852

申请日：2015-10-05

Applicant: Yahoo! Inc.

Inventor： Zornitsa Kozareva ,  Scott Gaffney

IPC: G06N7/02 ,  G06N99/00

CPC classification number: G06N5/04

Abstract: A method, implemented on at least one computing device each of which has at least one processor, storage, and a communication platform connected to a network for providing synthetic answers to a personal question is disclosed. A personal question is received from a person. One or more entities are extracted from the personal question. One or more relations are extracted from the personal question. A model is selected based on the personal question. One or more synthetic answers to the personal question are obtained based on the one or more entities, the one or more relations, and the selected model.

公开(公告)号：US20150127662A1

公开(公告)日：2015-05-07

申请号：US14074616

申请日：2013-11-07

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Dilan Gorur ,  Scott Gaffney

IPC: G06F17/30

CPC classification number: G06F17/30035

Abstract: A method is provided for building a user interest profile, including the following method operations: identifying features of each of a plurality of articles; for a given user, logging views of one or more of the plurality of articles; for each view, measuring a corresponding dwell time for the view by the given user; applying a weight to each view based on the corresponding measured dwell time; determining user interest scores for features of the one or more of the plurality of articles based on the weighted views; generating a user interest profile for the given user based on the user interest scores.

Abstract translation: 提供了一种用于构建用户兴趣简档的方法，包括以下方法操作：识别多个文章中的每一个的特征; 对于给定用户，记录所述多个物品中的一个或多个的视图; 对于每个视图，测量给定用户对于视图的相应驻留时间; 基于对应的测量停留时间对每个视图施加权重; 基于所述加权视图来确定所述多个文章中的一个或多个的特征的用户兴趣分数; 基于用户兴趣分数为给定用户生成用户兴趣简档。

公开(公告)号：US20160092563A1

公开(公告)日：2016-03-31

申请号：US14497591

申请日：2014-09-26

Applicant: Yahoo!, Inc.

Inventor： Jie Luo ,  Yi Chang ,  Scott Gaffney

IPC: G06F17/30 ,  G06K9/00 ,  G06F3/048

CPC classification number: G06F17/30864 ,  G06F3/0483 ,  G06F3/0488 ,  G06F17/30554

Abstract: A system and/or technique for graphical interface presentation comprises receiving a search string and presenting a search result series to a user on a client device. Search results of the search result series are presented in the form of cards, where a first card comprises information associated with a first search result of the search result series and a second card comprises information associated with a second search result of the search result series. A user may navigate through the cards to view various search results.

Abstract translation: 用于图形界面呈现的系统和/或技术包括接收搜索字符串并在客户端设备上向用户呈现搜索结果序列。 搜索结果系列的搜索结果以卡的形式呈现，其中第一卡包括与搜索结果系列的第一搜索结果相关联的信息，第二卡包括与搜索结果系列的第二搜索结果相关联的信息。 用户可以浏览卡片以查看各种搜索结果。

公开(公告)号：US20140280549A1

公开(公告)日：2014-09-18

申请号：US13836052

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Suju Rajan ,  Scott Gaffney

IPC: H04L29/08

CPC classification number: H04L67/306 ,  H04L67/22

Abstract: Embodiments of the present teachings disclose method, system, and programs that monetize personalized user behavioral profiles by remapping the users to audience segments related to advertisement. In the method, the users can be targeted with advertisements that are personalized and hence are more likely to lead to conversions

Abstract translation: 本教导的实施例公开了通过将用户重新映射到与广告相关的受众群体段来从个人化用户行为简档中获利的方法，系统和程序。 在该方法中，用户可以被定制为具有个性化的广告，因此更有可能导致转换

公开(公告)号：US20140280548A1

公开(公告)日：2014-09-18

申请号：US13835745

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Jean-Marc Langlois ,  Scott Gaffney ,  Choon Hui Teo ,  Nathan Liu

IPC: H04L29/08

CPC classification number: H04L67/22 ,  H04L67/306

Abstract: A method and system for exploring a list of user interests beyond the currently known user interests by defining a distance metrics in the interest space is disclosed. The new method and system target for exploration, items of interests which are close in proximity to the current set of user interests, thereby greatly improving the chance that one of the exploration items will be liked by the user.

Abstract translation: 公开了一种用于通过在感兴趣空间中定义距离度量来探索超出当前已知用户兴趣的用户兴趣列表的方法和系统。 用于勘探的新方法和系统目标，靠近当前用户兴趣集合的兴趣项目，从而大大提高了用户希望探索项目的机会。

公开(公告)号：US20140280214A1

公开(公告)日：2014-09-18

申请号：US13839169

申请日：2013-03-15

Applicant: YAHOO! INC.

Inventor： Yiping Han ,  Bruno M. Fernandez-Ruiz ,  Jean-Marc Langlois ,  Jin Lim ,  Scott Gaffney

IPC: G06F17/30

CPC classification number: G06F17/30943 ,  G06F17/30528 ,  G06F17/3053 ,  G06F17/30867 ,  H04L67/306

Abstract: Embodiments of the present teachings disclose method, system, and programs for a multi-phase ranking system for implementation with a personalized content system. The disclosed method, system, and programs utilize a weighted AND system to compute a dot product of the user profile and a content profile in a first phase, a content quality indicator in the second phase and a rules filter in a third phase.

Abstract translation: 本教导的实施例公开了用于使用个性化内容系统实现的多阶段排名系统的方法，系统和程序。 所公开的方法，系统和程序利用加权AND系统来计算用户简档和第一阶段中的内容简档，第二阶段中的内容质量指示符和第三阶段中的规则过滤器的点积。

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：US09703783B2

公开(公告)日：2017-07-11

申请号：US14064007

申请日：2013-10-25

Applicant: Yahoo! Inc.

Inventor： Xing Yi ,  Scott Gaffney ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F17/30053

Abstract: Methods, systems, and computer programs are presented for selecting news articles for presentation to a user. One method includes an operation for measuring dwelltimes for a first set of news items, where the dwelltime for a news item is based on the amount of time that the news item is displayed to a viewer. Further, the method includes an operation for training a classifier of news items based on the measured dwelltimes and based on features associated with the first set of news items. Additionally, the method includes an operation for ranking with the classifier a second set of news items for presentation to the user, the ranking also using the profile of the user for delivery of customized news to the user. The ranked second set of news item is then presented to the user.