公开(公告)号：US20170061310A1

公开(公告)日：2017-03-02

申请号：US14836692

申请日：2015-08-26

Applicant: Yahoo! Inc.

Inventor： Hossein Vahabi ,  Francesco Gullo

IPC: G06N7/00 ,  G06F17/30 ,  G06N5/04 ,  H04L12/58

CPC classification number: G06N7/005 ,  G06F16/24578 ,  G06F16/9024 ,  G06N5/003 ,  G06N5/04 ,  H04L51/32

Abstract: Method embodiments and/or system embodiments are provided that may be utilized to recommend online content to users based, at least in part on a prediction of diffusion of online content through a social network.

Abstract translation: 提供方法实施例和/或系统实施例，其可以至少部分地基于通过社交网络对在线内容的扩散的预测来向用户推荐在线内容。

公开(公告)号：US20170060937A1

公开(公告)日：2017-03-02

申请号：US14949932

申请日：2015-11-24

Applicant: Yahoo! Inc.

Inventor： Bhautik Joshi ,  Peter Welch ,  Ayan Ray

IPC: G06F17/30

CPC classification number: G06F16/2455

Abstract: The present teaching relates to methods, systems, and programming for reconciling or merging real time data with bulk data. In one example, a first attribute value is obtained. The first attribute value characterizes an aspect of a data item. A second attribute value related to the first attribute value is obtained. The second attribute value characterizes the aspect of the data item. A scheme is selected to be used to determine a third attribute value to characterize the data item. The third attribute value is determined in accordance with the selected scheme as well as the first and second attribute values.

Abstract translation: 本教学涉及将实时数据与批量数据进行协调或合并的方法，系统和编程。 在一个示例中，获得第一属性值。 第一个属性值表征数据项的一个方面。 获得与第一属性值相关的第二属性值。 第二个属性值表示数据项的方面。 选择一个方案来确定第三个属性值来表征数据项。 根据所选择的方案以及第一和第二属性值来确定第三属性值。

公开(公告)号：US20170060860A1

公开(公告)日：2017-03-02

申请号：US13916564

申请日：2013-06-12

Applicant: YAHOO! INC.

Inventor： Doug IMBRUCE ,  Owen BOSSOLA ,  Rasmus KNUTSSON ,  Tommy CHHENG ,  Hakim EL HATTAB

IPC: G06F17/30

CPC classification number: G06F17/30864

Abstract: Provided herein are mixed-media modules with enhanced features that can be used as search results. Systems and methods are disclosed for performing processing involved with search, such as processing search information to return search results. In one exemplary implementation, there is provided a method for processing information to return search results including mixed-media media presentation(s) selectable by a user. Moreover, such method may involve user interaction to manipulate the presentation, display various media and/or effect other functionality. Further implementations may involve generation of interactive, visually rich mixed-media content of high information density providing improved user experience and/or improved value to various participants.

Abstract translation: 这里提供具有可用作搜索结果的增强特征的混合媒体模块。 公开了用于执行涉及搜索的处理的系统和方法，诸如处理搜索信息以返回搜索结果。 在一个示例性实现中，提供了一种用于处理信息以返回包括由用户可选择的混合媒体媒体呈现的搜索结果的方法。 此外，这种方法可能涉及用户交互以操纵呈现，显示各种媒体和/或实现其他功能。 进一步的实现可以涉及产生高信息密度的交互式，视觉上丰富的混合媒体内容，为各种参与者提供改进的用户体验和/或改进的价值。

公开(公告)号：US20170053029A1

公开(公告)日：2017-02-23

申请号：US13717674

申请日：2012-12-17

Applicant: YAHOO! INC.

Inventor： Doug IMBRUCE ,  Owen Bossola ,  Rasmus Knuttsson ,  Tommy Chheng ,  Hakim El Hattab

IPC: G06F17/30

CPC classification number: G06F16/951 ,  G06F16/438 ,  G06F16/957

Abstract: Systems and methods are disclosed for performing processing involved with search, such as processing search information to return search results. In one exemplary implementation, there is provided a method for processing information to return search results including mixed-media media presentation(s) selectable by a user. Moreover, such method may involve user interaction to manipulate the presentation, display various media and/or effect other functionality. Further implementations may involve generation of interactive, visually rich mixed-media content of high information density providing improved user experience and/or improved value to various participants.

公开(公告)号：US09576029B2

公开(公告)日：2017-02-21

申请号：US13859208

申请日：2013-04-09

Applicant: YAHOO! INC.

Inventor： Pavel Berkhim ,  Zhichen Xu ,  Jianchang Mao ,  Daniel E. Rose ,  Abe Taha ,  Farzin Maghoul

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30616 ,  G06F17/30867 ,  Y10S707/99932 ,  Y10S707/99933

Abstract: The present invention is directed towards systems and methods for trust propagation. The method according to one embodiment comprises calculating a first feature vector for a first user, calculating a second feature for a second user and comparing the first feature vector with the second feature vector to calculate a similarity value. A determination is made as to whether the similarity value falls within a threshold. If the similarity value falls within the threshold, a relationship is recorded between the first user and the second user in a first user profile and a second user profile.

Abstract translation: 本发明涉及用于信任传播的系统和方法。 根据一个实施例的方法包括计算第一用户的第一特征向量，计算第二用户的第二特征并将第一特征向量与第二特征向量进行比较以计算相似度值。 确定相似度值是否在阈值内。 如果相似度值落在阈值内，则在第一用户简档和第二用户简档中记录第一用户和第二用户之间的关系。

公开(公告)号：US20170039456A1

公开(公告)日：2017-02-09

申请号：US14820972

申请日：2015-08-07

Applicant: Yahoo! Inc.

Inventor： Mohammad Saberian ,  Jia Li ,  Jian Yang

IPC: G06K9/66

CPC classification number: G06N3/08 ,  G06N3/0454 ,  G06N3/084

Abstract: Briefly, embodiments of methods and/or systems of training multiclass convolutional neural networks (CNNs) are disclosed. For one embodiment, as an example, an auxiliary CNN may be utilized to form an ensemble with the collection as a linear combination. The linear combination may be based, at least in part, on boost prediction error encountered during the training process.

Abstract translation: 简单地，公开了训练多级卷积神经网络（CNN）的方法和/或系统的实施例。 对于一个实施例，作为示例，可以使用辅助CNN来形成集合作为线性组合的集合。 线性组合可以至少部分地基于训练过程中遇到的升压预测误差。

公开(公告)号：US20170034590A1

公开(公告)日：2017-02-02

申请号：US15295916

申请日：2016-10-17

Applicant: Yahoo! Inc.

Inventor： Ronald Jacoby ,  Scott Lincke

IPC: H04N21/6547 ,  H04N21/2668 ,  H04N21/258 ,  H04N21/482 ,  H04N21/25 ,  H04N21/442 ,  H04N21/45 ,  H04N21/239 ,  H04N21/2665

CPC classification number: H04N21/6547 ,  H04N5/44543 ,  H04N21/2393 ,  H04N21/251 ,  H04N21/25825 ,  H04N21/25891 ,  H04N21/2665 ,  H04N21/2668 ,  H04N21/44204 ,  H04N21/4532 ,  H04N21/458 ,  H04N21/4622 ,  H04N21/4782 ,  H04N21/4821 ,  H04N21/4826 ,  H04N2005/44556

Abstract: A method for providing an interface for a television device is provided, including the following method operations: identifying available services for consumption on a television device, wherein the available services include two or more of a broadcast television service, an on-demand video service, and an internet content service; determining a current date and time; determining content items available for consumption from each of the available services at the current date and time; determining an allocation of display locations in a cross-platform interface for content items from each of the available services, the allocation defining a relative amount of display locations for each of the available services based on a device profile associated with the television device; assigning content items to the display locations in accordance with the determined allocation.

Abstract translation: 提供了一种用于提供电视设备的接口的方法，包括以下方法操作：识别电视设备上可用的消费服务，其中可用服务包括广播电视服务，点播视频服务， 和互联网内容服务; 确定当前日期和时间; 从当前日期和时间的每个可用服务确定可用于消费的内容项; 确定来自每个可用服务的内容项的跨平台界面中的显示位置的分配，所述分配基于与所述电视设备相关联的设备简档为所述可用服务中的每一个定义相对的显示位置量; 根据确定的分配将内容项目分配给显示位置。

公开(公告)号：US20170031903A1

公开(公告)日：2017-02-02

申请号：US15295007

申请日：2016-10-17

Applicant: Yahoo! Inc.

Inventor： Tomi Poutanen

IPC: G06F17/30

CPC classification number: G06F16/93 ,  G06F16/2228 ,  G06F16/24578 ,  G06F16/248 ,  G06F16/319

Abstract: In one embodiment, a data structure comprises: a primary index comprising one or more position-block references; and one or more position blocks sequentially following the primary index, wherein: each one of the position-block references corresponds to one of the position blocks; and each one of the position blocks comprises: a secondary index comprising one or more position-data references; and one or more sets of positions sequentially following the secondary index, wherein each one of the position-data references corresponds to of one of the sets of positions in the position block. In one embodiment, an instance of the data structure is stored in a computer-readable memory and accessible by an application executed by a process.

Abstract translation: 在一个实施例中，数据结构包括：主索引，其包括一个或多个位置块引用; 和一个或多个顺序地跟随主要索引的位置块，其中：位置块参考中的每一个对应于位置块中的一个; 并且每个所述位置块包括：包括一个或多个位置数据引用的辅助索引; 以及顺序地跟随次级索引的一组或多组位置，其中位置数据引用中的每一个对应于位置块中的一组位置。 在一个实施例中，数据结构的实例被存储在计算机可读存储器中，并且可由进程执行的应用访问。

公开(公告)号：US20170024388A1

公开(公告)日：2017-01-26

申请号：US14804835

申请日：2015-07-21

Applicant: Yahoo!, Inc.

Inventor： Frank Richard Bentley ,  Joseph Nathaniel Kaye ,  David Ayman Shamma ,  John Alexis Guerra Gomez

IPC: G06F17/30

CPC classification number: G06F16/9537

Abstract: One or more systems and/or methods for determining a query date range and/or searching a content corpus are provided. A set of content items (e.g., digital images, videos, etc.), associated with an event, may be identified from a content corpus. The set of content items may be evaluated to identify temporal features (e.g., digital time stamps) for the set of content items. A query date range for the event may be determined based upon the temporal features (e.g., users may capture photos that are related to Christmas from December 4th to December 27th). In an example, responsive to receiving a search query, associated with the event, the search query may be adjusted based upon the query date range to create an adjusted search query. The content corpus may be searched using the adjusted search query to create search query results for the search query.

Abstract translation: 提供了一种或多种用于确定查询日期范围和/或搜索内容语料库的系统和/或方法。 可以从内容语料库识别与事件相关联的一组内容项目（例如，数字图像，视频等）。 可以评估该组内容项目以识别该组内容项目的时间特征（例如，数字时间戳）。 可以基于时间特征来确定事件的查询日期范围（例如，用户可以从12月4日至12月27日捕获与圣诞节相关的照片）。 在一个示例中，响应于接收到与事件相关联的搜索查询，可以基于查询日期范围来调整搜索查询以创建经调整的搜索查询。 可以使用经调整的搜索查询来搜索内容语料库以创建搜索查询的搜索查询结果。

公开(公告)号：US20170012912A1

公开(公告)日：2017-01-12

申请号：US15263238

申请日：2016-09-12

Applicant: Yahoo! Inc.

Inventor： Sharat Narayan ,  Vishwanath Tumkur Ramarao ,  Belle Tseng ,  Markus Weimer ,  Young Maeng ,  Jyh-Shin Shue

IPC: H04L12/58 ,  H04L29/08 ,  H04L29/12

CPC classification number: H04L51/12 ,  G06F15/16 ,  G06Q10/107 ,  H04L51/046 ,  H04L61/2007 ,  H04L67/2866

Abstract: Embodiments are directed towards multi-level entity classification. An object associated with an entity is received. In one embodiment the object comprises and email and the entity comprises the IP address of a sending email server. If the entity has already been classified, as indicated by an entity classification cache, then a corresponding action is taken on the object. However, if the entity has not been classified, the entity is submitted to a fast classifier for classification. A feature collector concurrently fetches available features, including fast features and full features. The fast classifier classifies the entity based on the fast features, storing the result in the entity classification cache. Subsequent objects associated with the entity are processed based on the cached result of the fast classifier. Then, a full classifier classifies the entity based on at least the full features, storing the result in the entity classification cache.

Abstract translation: 实施例针对多级实体分类。 接收与实体相关联的对象。 在一个实施例中，对象包括和电子邮件，并且实体包括发送电子邮件服务器的IP地址。 如果实体已经被分类，如实体分类缓存所示，则对对象采取相应的动作。 但是，如果实体尚未分类，则将实体提交给快速分类器进行分类。 功能收集器同时提取可用功能，包括快速功能和完整功能。 快速分类器基于快速特征对实体进行分类，将结果存储在实体分类缓存中。 基于快速分类器的缓存结果来处理与实体相关联的后续对象。 然后，完整分类器至少基于全部特征对实体进行分类，将结果存储在实体分类缓存中。