公开(公告)号：US20150381682A1

公开(公告)日：2015-12-31

申请号：US14320620

申请日：2014-06-30

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao ,  Sundeep Narravula ,  Shivakumar Ningappa

IPC: H04L29/06 ,  H04L29/08 ,  G06F17/30

CPC classification number: H04L67/32 ,  G06F17/30893 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/812 ,  H04N21/8352 ,  H04N21/8586

Abstract: Software on a content-aggregation website obtains a resource associated with a podcast from a website publishing the podcast and stores it e resource on the content-aggregation website. The software adds the resource as a leaf node to a taxonomy generated by the content-aggregation website. The addition is based on data associated with the podcast. The non-leaf nodes in the taxonomy are categories of content. The software determines that a user of the content aggregation website is qualified as to at least one category that includes the resource as a leaf node. The determination is based at least in part on feedback from the user that includes a viewing or listening history for the user. Then the software serves the resource to the user in a content stream published by the content-aggregation website, based at least in part on a personalization score associated with the resource.

Abstract translation: 内容聚合网站上的软件从发布播客的网站获取与播客相关的资源，并将其存储在内容聚合网站上。 该软件将资源作为叶节点添加到由内容聚合网站生成的分类法。 该添加是基于与播客相关联的数据。 分类中的非叶节点是内容的类别。 该软件确定内容聚合网站的用户对包含作为叶节点的资源的至少一个类别进行限定。 该确定至少部分地基于来自用户的反馈，其包括用户的观看或收听历史。 然后，该软件至少部分地基于与资源相关联的个性化分数，向内容聚合网站发布的内容流中的用户提供资源。

公开(公告)号：US20150379134A1

公开(公告)日：2015-12-31

申请号：US14320255

申请日：2014-06-30

Applicant: Yahoo! Inc.

Inventor： Eric Bax ,  John Peng ,  Scott Ard ,  Arun Autuchirayll

IPC: G06F17/30

CPC classification number: G06F17/30973 ,  G06F17/30637 ,  G06F17/3064 ,  G06F17/30648 ,  G06F17/30867 ,  G06F17/3097 ,  G06F17/30991 ,  G06F17/30997

Abstract: Briefly, embodiments disclosed herein may relate to formulating recommended search queries. Search query recommendations may be based, at least in part, on multiple user searches performed at least in part in response to consumption of publicly available content, for example.

Abstract translation: 简言之，本文公开的实施例可以涉及制定推荐的搜索查询。 搜索查询建议可以至少部分地基于至少部分地响应于公共可用内容的消耗而执行的多个用户搜索。

公开(公告)号：US09208053B2

公开(公告)日：2015-12-08

申请号：US14334034

申请日：2014-07-17

Applicant: Yahoo! Inc.

Inventor： Arun Kejariwal ,  Paolo D'Alberto ,  Sapan Panigrahi ,  Rosario Cammarota

IPC: G06F9/44 ,  G06F9/45 ,  G06F11/34

CPC classification number: G06F11/3447 ,  G06F11/3409 ,  G06F11/3419 ,  G06F11/3442 ,  G06F11/3466 ,  G06F2201/81 ,  G06F2201/83 ,  G06F2201/86 ,  G06F2201/865 ,  G06F2201/88

Abstract: A system and method for identifying optimal system architectures for a reference application are provided. The system and method comprise executing a reference application and a plurality of test applications on a current system architecture and sampling performance data for each of the applications. The performance data is used to compute an application signature for each application. A similarity element is derived from the application signatures that illustrates the similarity between each application and every other application. Using a similarity threshold and an algorithm, a subset of test applications that are similar to the reference application are derived.

Abstract translation: 提供了一种用于识别参考应用的最佳系统架构的系统和方法。 该系统和方法包括在当前系统架构上执行参考应用和多个测试应用，并针对每个应用采样性能数据。 性能数据用于计算每个应用程序的应用程序签名。 相似性元素从应用程序签名中得出，该签名说明了每个应用程序和每个其他应用程序之间的相似性。 使用相似性阈值和算法，推导出与参考应用程序相似的测试应用程序子集。

公开(公告)号：US20150350132A1

公开(公告)日：2015-12-03

申请号：US14291422

申请日：2014-05-30

Applicant: Yahoo! Inc.

Inventor： Zohar Karnin ,  Yoelle Maarek ,  David Wajc ,  Iftah Gamzu

IPC: H04L12/58 ,  H04L12/26

CPC classification number: H04L51/08 ,  H04L51/02 ,  H04L51/10

Abstract: Disclosed is a system, method, and non-transitory computer readable storage medium for predicting future messages. A processor receives a message sent to a user operating a client device, analyzes the message in light of previously identified patterns and scores assigned to scanned messages, determines a future message that should be received by the client device based on the received message, and transmits an item of information based on the determined future message.

Abstract translation: 公开了一种用于预测未来消息的系统，方法和非暂时计算机可读存储介质。 处理器接收发送给操作客户机设备的用户的消息，根据先前识别的模式和分配给扫描消息的分数来分析消息，基于接收到的消息确定应该由客户端设备接收的未来消息，并发送 基于所确定的未来消息的信息项。

公开(公告)号：US20150348107A1

公开(公告)日：2015-12-03

申请号：US14292467

申请日：2014-05-30

Applicant: Yahoo! Inc.

Inventor： Tingyi Wu ,  Enrique Andres Munoz Torres ,  Sophia Thitirat Perl ,  Andrew Poon ,  Conrad Wai ,  Michael Eric Plasmeier

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0275 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30864 ,  G06Q30/0256

Abstract: A system stored in a non-transitory medium executable by processor circuitry is provided for generating sponsored verbs and contexts. The system includes interface circuitry for receiving a search query from a user device and query processing circuitry for identifying search results comprising entity search result objects and non-entity search result objects related to the search query. Targeting circuitry determines a set of verb keywords associated with the search result objects and analytics circuitry selects one or more sponsored verbs for at least one entity or non-entity search result. Display logic circuitry is communicatively coupled to the interface circuitry and dynamically generates interface elements for each of the one or more sponsored verbs, and displays, in response to the search query, the interface elements as a sub-component of the at least one entity or non-entity search result.

Abstract translation: 提供了存储在由处理器电路可执行的非暂时介质中的系统，用于生成赞助的动词和上下文。 该系统包括用于从用户设备接收搜索查询的接口电路和用于识别包括与搜索查询相关的实体搜索结果对象和非实体搜索结果对象的搜索结果的查询处理电路。 目标电路确定与搜索结果对象相关联的一组动词关键词，分析电路为至少一个实体或非实体搜索结果选择一个或多个赞助动词。 显示逻辑电路通信地耦合到接口电路并且动态地生成一个或多个赞助动词中的每一个的接口元素，并且响应于搜索查询将接口元素显示为至少一个实体的子组件或 非实体搜索结果。

公开(公告)号：US20150348086A1

公开(公告)日：2015-12-03

申请号：US14824819

申请日：2015-08-12

Applicant: Yahoo! Inc.

Inventor： Erik Vee ,  Dongni Chen ,  Peiji Chen ,  Satyen Kale ,  Srinath Mandalapu ,  Chandrashekhar Nagarajan

IPC: G06Q30/02

CPC classification number: G06Q30/0241 ,  G06Q10/087 ,  G06Q20/203 ,  G06Q30/02 ,  G06Q30/0244

Abstract: Methods and systems are disclosed which allow shifting inventory to fulfill guaranteed delivery advertisement contracts. Inventory may be allocated from a supply of unallocated inventory to one or more advertisers in accordance with guaranteed delivery agreements. Inventory may be reserved for the one or more advertisers from the remaining supply of unallocated inventory. Inventory may then be allocated to an additional advertiser by using unallocated inventory or shifted inventory, or a combination of unallocated inventory and shifted inventory. The shifted inventory is shifted out of the allocation for the first advertiser and the shifted inventory is replaced by the reserve inventory for the respective advertiser.

Abstract translation: 公开了允许转移库存以实现保证交货广告合同的方法和系统。 根据保证的交付协议，库存可以从未分配的库存供应分配给一个或多个广告客户。 从剩余的未分配库存供应中可能会为一个或多个广告客户预留库存。 然后可以通过使用未分配的库存或转移的库存，或未分配的库存和转移的库存的组合，将库存分配给附加的广告客户。 已转移的库存已从第一个广告客户的分配中移出，而转移的库存将被相应广告客户的备用库存替换。

公开(公告)号：US09197607B2

公开(公告)日：2015-11-24

申请号：US13968314

申请日：2013-08-15

Applicant: Yahoo! Inc.

Inventor： William J. Mills

IPC: H04L29/06

CPC classification number: H04L63/0428 ,  H04L63/04 ,  H04L63/08

Abstract: Briefly, embodiments of methods or systems for providing enhancements to network security are disclosed.

Abstract translation: 简言之，公开了用于提供对网络安全性的增强的方法或系统的实施例。

公开(公告)号：US09189805B2

公开(公告)日：2015-11-17

申请号：US13920212

申请日：2013-06-18

Applicant: Yahoo! Inc.

Inventor： Ling-Wei Huang ,  Wei-Han Li ,  Huai-Hsing Huang ,  Chia-Yen Liu ,  Chi-Wa Ng ,  Shih-Ting Huang ,  Shih-Ping Lu ,  Dai-Yan Chen ,  Pin-Kuan Lee

IPC: G06Q30/00 ,  G06Q30/02

CPC classification number: G06Q30/0272 ,  G06Q30/0277 ,  H04N21/4782 ,  H04N21/6587 ,  H04N21/812

Abstract: A computer-implemented method for automatically pausing advertisements based on user attention includes rendering a digital video to a user, in response to the user initiating the digital video through a web multimedia player. The computer-implemented method also includes streaming an advertisement to the user once the user begins to watch the digital video and monitoring the user attention as the user watches the advertisement. The user attention is monitored based on keystrokes and mouse movements. Further, the computer-implemented method includes detecting one or more changes in the user attention. Furthermore, the computer-implemented method includes pausing the advertisement automatically at instance of detecting the one or more changes. Moreover, the computer-implemented method includes detecting the one or more changes that directs the user attention to the paused advertisement and resuming streaming of the advertisement.

Abstract translation: 响应于用户通过网络多媒体播放器发起数字视频，用于基于用户关注自动暂停广告的计算机实现的方法包括将数字视频呈现给用户。 一旦用户开始观看数字视频并且在用户观看广告时监视用户的关注，计算机实现的方法还包括向用户流式传输广告。 基于击键和鼠标移动来监视用户注意力。 此外，计算机实现的方法包括检测用户关注的一个或多个变化。 此外，计算机实现的方法包括在检测一个或多个改变的情况下自动暂停广告。 此外，计算机实现的方法包括检测将用户注意到暂停的广告的一个或多个改变，并恢复广告的流式传输。

公开(公告)号：US09176966B2

公开(公告)日：2015-11-03

申请号：US13770525

申请日：2013-02-19

Applicant: YAHOO! INC.

Inventor： Todd Silverstein ,  Jeff Cutler-Stamm ,  Dusten Tucker ,  Lyle P. Stein ,  David Sklar ,  Jason Blackheart ,  Ryan Massad

IPC: G06F17/30 ,  G06Q10/10 ,  G06T11/20

CPC classification number: G06F17/30554 ,  G06F17/2247 ,  G06F17/30076 ,  G06F17/30598 ,  G06F17/30893 ,  G06F17/30908 ,  G06Q10/105 ,  G06T11/206

Abstract: In one embodiment, a method for creating one or more infographics, comprising: receiving and storing data associated with an individual or an entity, in a format according to a schema that includes at least two properties associated with the individual or entity; reading at least a portion of the data; determining which of the at least two properties in the schema do not have corresponding read data associated with the individual or entity; based on that determination, selecting an infographic definition from among a plurality of infographic definitions defining the appearance of at least a portion of an infographic; generating one or more infographics based on (i) the at least a portion of the data and (ii) the selected infographic definition; and providing the one or more generated infographics to an output device.

Abstract translation: 在一个实施例中，一种用于创建一个或多个图表的方法，包括：以根据包括与所述个体或实体相关联的至少两个属性的模式的格式接收和存储与个体或实体相关联的数据; 读取数据的至少一部分; 确定所述模式中的所述至少两个属性中的哪一个不具有与所述个体或实体相关联的对应读取数据; 基于该确定，从定义信息图的至少一部分的外观的多个信息集定义中选择信息集定义; 基于（i）所述数据的至少一部分和（ii）所选择的信息集定义生成一个或多个图表; 以及将一个或多个生成的信息图提供给输出设备。

公开(公告)号：US20150302099A1

公开(公告)日：2015-10-22

申请号：US14755037

申请日：2015-06-30

Applicant: Yahoo! Inc.

Inventor： Bharathi Shekar ,  Ashootosh Chand ,  Arnab Nandi

IPC: G06F17/30 ,  H04L29/06

CPC classification number: G06Q30/0255 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9535 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L65/403

Abstract: Techniques are described for providing automated recommendations of real-world locations, such as businesses, for users to visit based at least in part on historical location-preference information. The historical location-preference information used by the recommendation system may include the historical location-preference information of the person that requests the recommendation, other people explicitly identified as participants by the requestor, and/or other people implicitly determined to be participants. The historical location-preference information may be explicit, such as “check-ins” or reviews, or implicit. Implicit participants may be identified in a variety of ways, including social network relationships and the context in which the recommendation request is submitted.

Abstract translation: 描述了技术，用于至少部分地基于历史位置偏好信息来提供真实世界地点（例如企业）的自动建议，供用户访问。 推荐系统使用的历史位置偏好信息可以包括请求推荐的人的历史位置偏好信息，被请求者明确地标识为参与者的其他人和/或隐含地被确定为参与者的其他人。 历史位置偏好信息可能是明确的，例如“签入”或评论，或隐含的。 隐性参与者可以通过各种方式来识别，包括社交网络关系以及推荐请求的上下文。