公开(公告)号：US20160353030A1

公开(公告)日：2016-12-01

申请号：US14725398

申请日：2015-05-29

Applicant: Yahoo!, Inc.

Inventor： Shenglong Gao ,  Adam Mathes ,  Gregory Choi ,  Dongeun Lee ,  Luiz Fernando da Silva Pereira ,  Yuhuan Tang

IPC: H04N5/232 ,  H04N5/265

CPC classification number: H04N5/23293 ,  H04N5/265 ,  H04N21/2743 ,  H04N21/41407 ,  H04N21/4223 ,  H04N21/4788 ,  H04N21/488

Abstract: One or more systems and/or methods for capturing an image are provided. In an example, an application interface (e.g., a weather application interface), within which the image is to be populated, may be identified. The application interface may be evaluated to identify display context (e.g., a temperature label, weather visual effect, a weather icon, etc.) of the application interface. A camera user interface, associated with a camera of a device, may be displayed to a user. The display context may be overlaid a real-time image capture preview provided by the camera user interface so that the user may preview how the image may appear when used as a background image for the application interface (e.g., how a scene of a park may appear when the temperature label, weather icon, etc. are displayed over the background image). The image may be captured through the camera user interface utilizing the camera.

Abstract translation: 提供了用于捕获图像的一个或多个系统和/或方法。 在一个示例中，可以识别在其中要填充图像的应用接口（例如，天气应用接口）。 可以评估应用接口以识别应用接口的显示上下文（例如，温度标签，天气视觉效果，天气图标等）。 可以向用户显示与设备的相机相关联的相机用户界面。 显示上下文可以覆盖由相机用户界面提供的实时图像捕获预览，使得用户可以预览当用作应用界面的背景图像时图像可能如何出现（例如，公园的场景如何 当在背景图像上显示温度标签，天气图标等时出现）。 可以通过使用相机的相机用户界面捕获图像。

公开(公告)号：US20160350797A1

公开(公告)日：2016-12-01

申请号：US15231628

申请日：2016-08-08

Applicant: Yahoo! Inc.

Inventor： Vanessa Murdock

IPC: G06Q30/02 ,  G06N7/00 ,  G06F17/30

CPC classification number: G06Q30/0244 ,  G06F16/24578 ,  G06F16/951 ,  G06N7/005 ,  G06Q30/02 ,  G06Q30/0277

Abstract: Methods, computer products, and systems for selecting advertisements in response to an internet query are provided. The method provides for receiving an internet query that includes query terms, retrieving and then ranking a first set of advertisements in response to the internet query using a query likelihood model. The method then selects sampling terms using pseudo-relevance feedback and translation models, the internet query, and the first set of ad materials obtained using the query likelihood model. The sampling terms are chosen from a distribution of terms from the terms in the first set of ad materials, and the pseudo-relevance feedback model is used to select a term in the distribution of terms based on a probability. The use of translation models enhances the topicality of the results because the distribution words selected are related to the terms in the original query as indicated by their translation probabilities.

Abstract translation: 提供了用于响应于互联网查询来选择广告的方法，计算机产品和系统。 该方法提供接收互联网查询，该互联网查询包括查询词，响应于使用查询似然模型的因特网查询来检索并排列第一组广告。 然后，该方法使用伪相关反馈和翻译模型，互联网查询以及使用查询似然模型获得的第一组广告材料来选择抽样项。 抽样条件从第一组广告材料中的术语的分布中选择，并且伪相关反馈模型用于基于概率来选择术语分配中的术语。 使用翻译模型增强了结果的主题性，因为所选择的分发词与原始查询中的术语相关，如其翻译概率所示。

公开(公告)号：US20160350426A1

公开(公告)日：2016-12-01

申请号：US14727081

申请日：2015-06-01

Applicant: YAHOO! INC.

Inventor： Hui Wu ,  Huming Wu ,  Shenhong Zhu ,  Jiuhe Gan ,  Hang Su

IPC: G06F17/30

CPC classification number: G06F16/3322 ,  G06F16/2425 ,  G06F16/24578 ,  G06F16/90324 ,  G06F16/9535 ,  G06F16/9537

Abstract: A location-aware search assist capability identifies location-aware search query suggestions using location information associated with the location-aware search query suggestions. A user's search query input and location and a location associated with each location-aware search query suggestion candidates may be used to identify a set of search query suggestions for presentation to the user. Location-aware search query suggestion candidates may be ranked in accordance with a closeness of each one's location to the user's location. The ranking may be performed using a score, such as a popularity score associated with each search query suggestion candidate. The location-aware search query suggestion candidates having a location closer to the user's location may be promoted by adjusting each candidate's popularity score upward, and the search query suggestion candidates that are farther away from the user's location may be demoted by adjusting each such candidate's popularity score downward.

Abstract translation: 位置感知搜索辅助功能使用与位置感知搜索查询建议相关联的位置信息来识别位置感知搜索查询建议。 可以使用用户的搜索查询输入和位置以及与每个位置感知搜索查询建议候选相关联的位置来标识一组用于呈现给用户的搜索查询建议。 位置感知搜索查询建议候选者可以根据每个人的位置与用户的位置的接近度来排序。 可以使用诸如与每个搜索查询建议候选者相关联的受欢迎程度的分数来执行排名。 具有更接近用户位置的位置感知搜索查询建议候选者可以通过向上调整每个候选人的受欢迎程度来促进，并且可以通过调整每个这样的候选人的受欢迎程度来降低距离用户位置更远的搜索查询建议候选 得分下降。

公开(公告)号：US09508021B2

公开(公告)日：2016-11-29

申请号：US14158598

申请日：2014-01-17

Applicant: Yahoo! Inc.

Inventor： Roelof van Zwol ,  Lluis Garcia Pueyo ,  Stefan Matthias Romberg

IPC: G06K9/64 ,  G06K9/62

CPC classification number: G06K9/6202 ,  G06K9/6211

Abstract: Subject matter disclosed herein relates to electronic image object or logo recognition.

Abstract translation: 本文公开的主题涉及电子图像对象或标识识别。

公开(公告)号：US20160342669A1

公开(公告)日：2016-11-24

申请号：US14715012

申请日：2015-05-18

Applicant: YAHOO! INC.

Inventor： Brian Hein ,  Peter Monaco ,  Richard Sarvate ,  Nitish Dalal

IPC: G06F17/30 ,  G06F17/22 ,  G06F17/24

CPC classification number: G06F17/30575 ,  G06F17/24 ,  G06F17/30011 ,  G06Q10/109

Abstract: Disclosed are systems and methods for editing aggregated data based on edit requests that are received. An electronic edit file is automatically updated to include a newly-received edit. The edit file includes anchor points that each point to one of a plurality of aggregate data objects. The anchor points are used to determine one of the objects to which the edit file corresponds. The edit file is then applied to update data in this object including making the new edit.

Abstract translation: 公开的是基于接收到的编辑请求来编辑汇总数据的系统和方法。 自动更新电子编辑文件以包括新接收的编辑。 编辑文件包括每个指向多个聚合数据对象之一的锚点。 锚点用于确定编辑文件对应的对象之一。 然后将该编辑文件应用于更新该对象中的数据，包括进行新的编辑。

公开(公告)号：US09501526B2

公开(公告)日：2016-11-22

申请号：US13865082

申请日：2013-04-17

Applicant: Yahoo! Inc.

Inventor： Rick James

IPC: G06F17/30

CPC classification number: G06F17/30486 ,  G06F17/30241 ,  G06F17/30442

Abstract: Systems and methods are disclosed for efficiently searching a database including a table. The table is partitioned along a first dimension, such as latitude. Indexes in each of the partitions are built along a second dimension, such as longitude. The table may also be clustered according to an index to improve performance. When a processor receives a database query term and a starting location, the processor selects, from the table, a data partition within a first offset to the starting location along the first dimension. The processor selects, from the selected data partition, a first number of first data records related to the query term and within a second offset to the starting location along the second dimension.

Abstract translation: 公开了用于有效地搜索包括表的数据库的系统和方法。 表沿第一维度（如纬度）进行分区。 每个分区中的索引都沿着第二个维度（如经度）构建。 还可以根据索引对表进行聚类以提高性能。 当处理器接收到数据库查询项和起始位置时，处理器从表中选择沿着第一维度到起始位置的第一偏移量内的数据分区。 所述处理器从所选择的数据分区中选择与所述查询项相关的第一数量的第一数据记录，并且沿着所述第二维度在到所述起始位置的第二偏移量内。

公开(公告)号：US20160335678A1

公开(公告)日：2016-11-17

申请号：US14713811

申请日：2015-05-15

Applicant: Yahoo! Inc.

Inventor： Nagaraj Kota ,  Srinath Mandalapu ,  Anthony Thaniserikaran Devassy

IPC: G06Q30/02

CPC classification number: G06Q30/0275 ,  G06Q30/0277

Abstract: Systems and methods for building an index for matching queries and bidded terms are disclosed. The expansion of the bid-terms includes a collective expansion using graph mining techniques on a subgraph extracted from user actions on a bi-partite graph. The extracted subgraph is specific to an AdGroup (obtained using all the available context) and is personalized. The extracted subgraph can be tuned to various objectives such as head/torso/tail, specific vs generic etc. Multiple relevance measures of candidate query nodes are calculated with reference to multiple source nodes or context, and the final rankings are biased to commercial relevance using personalized random-walks.

Abstract translation: 公开了用于构建用于匹配查询和出价条款的索引的系统和方法。 投标条款的扩展包括使用图形挖掘技术在从双分图上的用户操作中提取的子图上的集体扩展。 提取的子图特定于AdGroup（使用所有可用上下文获得）并且是个性化的。 提取的子图可以调整到诸如头/躯干/尾巴，特定对等的各种目标。参考多个源节点或上下文来计算候选查询节点的多个相关性度量，并且最终排名被偏向商业相关性 个性化随机散步。

公开(公告)号：US20160335282A1

公开(公告)日：2016-11-17

申请号：US15221741

申请日：2016-07-28

Applicant: Yahoo! Inc.

Inventor： Jay Brent DeShan ,  Chad Ric Gray ,  Huong Thi Do

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0484 ,  H04L29/06 ,  H04L29/08

CPC classification number: G06F16/168 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/44 ,  G06F16/7867 ,  G11B27/34 ,  H04L65/60 ,  H04L67/02 ,  H04L67/06 ,  H04N21/472 ,  H04N21/4788 ,  H04N21/4828

Abstract: The present invention describes a system and method of managing digital content received from content providers and for facilitating access to the digital content to many subscribers. The method includes receiving from the content providers incoming feed files where each feed file contains information describing the content. The method determines if the feed files are approved by applying a template to the feed files and also receives request files from the subscribers where each request file contains search criteria. The method provides one or more answer files in response to the request files where each answer file identifies feed files that meet the search criteria of a corresponding request file. The answer files are used to access or permit access to digital content on the web. In addition, a graphical user interface is described to manage, edit, promote and delete the feed files provided to the system.

Abstract translation: 本发明描述了一种管理从内容提供商接收的数字内容并促进对许多用户访问数字内容的系统和方法。 该方法包括从内容提供商接收每个馈送文件包含描述内容的信息的输入馈送文件。 该方法通过将模板应用于Feed文件来确定Feed文件是否被批准，并且还从订阅者接收每个请求文件包含搜索条件的请求文件。 该方法响应于请求文件提供一个或多个应答文件，其中每个应答文件标识满足相应请求文件的搜索条件的馈送文件。 答案文件用于访问或允许访问网络上的数字内容。 此外，描述了图形用户界面来管理，编辑，推广和删除提供给系统的供稿文件。

公开(公告)号：US20160335263A1

公开(公告)日：2016-11-17

申请号：US14959122

申请日：2015-12-04

Applicant: Yahoo! Inc.

Inventor： Dawei Yin ,  Pengyuan Wang ,  Hua Ouyang ,  Yi Chang ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/9535

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract translation: 本教学涉及排名搜索内容。 在一个示例中，接收到相对于查询进行排名的多个文档。 从查询和多个文档中提取特征。 基于排名模型和提取的特征来对多个文档进行排名。 导出排序模型，以从多个文档中删除与查询相关性较低的一个或多个文档，并根据其与查询的相关性来订购剩余的文档。 订购的剩余文件作为查询的搜索结果提供。

公开(公告)号：US09496893B1

公开(公告)日：2016-11-15

申请号：US14926541

申请日：2015-10-29

Applicant: Yahoo! Inc.

Inventor： Harry Jack Strohm, III

IPC: H03M7/00 ,  H03M7/30

CPC classification number: H03M7/3059 ,  H03M7/40

Abstract: Briefly, methods and/or systems of processing a content table prior to entropy encoding are described. An example may comprise determining upper and lower equivalent byte values for the content. The content may be transformed and reordered based, at least in part, on the upper and lower equivalent byte values and compressed using, for example, delta compression.

Abstract translation: 简言之，描述了在熵编码之前处理内容表的方法和/或系统。 一个例子可以包括确定内容的上和下等价字节值。 至少部分地，内容可以基于上下等效字节值进行变换和重新排序，并使用例如增量压缩进行压缩。