公开(公告)号：WO2017172175A1

公开(公告)日：2017-10-05

申请号：PCT/US2017/019879

申请日：2017-02-28

Applicant: YAHOO! INC.

Inventor： SONG, Yale ,  VALLMITJANA, Jordi

IPC: G11B27/19 ,  G06K9/00 ,  G11B27/02

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically detecting and rendering highlights from streaming videos in real-time. As a streaming video is being broadcast over the Internet, the disclosed systems and methods determine each type of scene from the streaming video, and automatically score highlight scenes. The scored highlight scenes are then communicated to users as compiled video segments, which can be over any type of channel or platform accessible to a user's device and network that enables content rendering and user interaction.

Abstract translation: 公开了用于在内容生成，搜索，托管和/或提供由个人计算设备，服务器和/或平台支持或配置的系统中改善与计算机之间的交互以及与计算机之间的交互的系统和方法。 这些系统通过交互来识别和检索平台内或跨平台的数据，这些数据可用于提高处理此类系统中处理器之间或之中处理交互所使用的数据的质量。 所公开的系统和方法提供了用于实时自动检测和渲染来自流视频的突出显示的系统和方法。 当流式视频通过互联网广播时，所公开的系统和方法从流式视频确定每种类型的场景，并自动对高亮场景进行评分。 然后将得分的高光场景作为编译后的视频片段传送给用户，该视频片段可以覆盖用户设备和网络可访问的任何类型的频道或平台，从而实现内容呈现和用户交互。

公开(公告)号：WO2017027429A1

公开(公告)日：2017-02-16

申请号：PCT/US2016/045935

申请日：2016-08-07

Applicant: YAHOO! INC.

Inventor： OSINDERO, Simon

IPC: G06F17/30 ,  G06N3/02

CPC classification number: G06K9/6256 ,  G06K9/00711 ,  G06K9/00718 ,  G06K9/00744 ,  G06K9/4671 ,  G06K9/6269 ,  G06K9/66 ,  G06K2009/4666

Abstract: Disclosed herein is an intelligent agent to analyze a media object. The agent comprises a trained model comprising a number of state layers for storing a history of actions taken by the agent in each of a number of previous iterations performed by the agent in analyzing a media object. The stored state may be used by the agent in a current iteration to determine whether or not to make, or abstain from making, a prediction from output generated by the model, identify another portion of the media object to analyze, end analysis. Output from the agent's model may comprise a semantic vector that can be mapped to a semantic vector space to identify a number of labels for a media object.

Abstract translation: 这里公开了一种用于分析媒体对象的智能代理。 代理包括训练模型，其包括多个状态层，用于存储代理在分析媒体对象时由代理执行的多个先前迭代中的每一个中采取的动作历史。 存储状态可以由代理在当前迭代中使用以确定是否对由模型生成的输出进行预测或者不做出，识别要分析的媒体对象的另一部分，结束分析。 来自代理模型的输出可以包括可被映射到语义向量空间以识别媒体对象的多个标签的语义向量。

公开(公告)号：WO2016201631A1

公开(公告)日：2016-12-22

申请号：PCT/CN2015/081615

申请日：2015-06-17

Applicant: YAHOO! INC.

Inventor： GOLBANDI, Nadav ,  WANG, Chao

IPC: G06F17/30

CPC classification number: G06N5/04 ,  G06F17/30867 ,  G06N7/005 ,  G06N99/005 ,  G06Q30/0241 ,  G06Q30/0269

Abstract: Computer systems and methods for online content recommendation. The computer systems may be configured to receive a training sample from a first client device corresponding to a predefined feedback interacting with online content displayed on the first client device; update a preexisting training database in real-time based on the received training sample to generate an updated training sample, wherein prior to being updated based on the training sample received from the first client, the training database includes a set of historical training samples; conduct a regression training to a computer learning model in real-time, using the updated training sample, to produce a set of trained parameters for an online content recommendation model; call the set of trained parameters in real-time to determine recommend online content for a second user with the online content recommendation model; and send the recommended online content to a second client device of the second user.

Abstract translation: 用于在线内容推荐的计算机系统和方法。 计算机系统可以被配置为从第一客户端设备接收对应于与在第一客户端设备上显示的在线内容交互的预定义反馈的训练样本; 基于接收到的训练样本来实时更新预先存在的训练数据库以生成更新的训练样本，其中在根据从第一客户端接收到的训练样本进行更新之前，训练数据库包括一组历史训练样本; 对计算机学习模型进行回归训练，使用更新的训练样本，为在线内容推荐模型生成一组训练有素的参数; 通过在线内容推荐模型实时调用一组训练有素的参数来确定第二个用户的推荐在线内容; 并将推荐的在线内容发送给第二个用户的第二个客户端设备。

公开(公告)号：WO2016197316A1

公开(公告)日：2016-12-15

申请号：PCT/CN2015/081046

申请日：2015-06-09

Applicant: YAHOO! INC. ,  YAHOO! LABS BEIJING

Inventor： ZHANG, Shanshan ,  WANG, Qingquan ,  ZHU, Siyu ,  DING, Zhuoye

IPC: G06F17/30

CPC classification number: G06Q30/0256 ,  G06F17/3053 ,  G06F17/30554 ,  G06N5/04 ,  G06N99/005 ,  G06Q30/0269

Abstract: The present teaching relates to placing sponsored search results based on correlation of the sponsored search results. A search query is first received at a search engine from a user. One or more keywords are further extracted from the search query. A plurality of sponsored search results related to the one or more keywords are received in response to the search query. The placement of the plurality of sponsored search results are further determined based on correlation of the plurality of sponsored search results, and a search results page containing the plurality of sponsored search results are presented to the user.

Abstract translation: 本教导涉及基于赞助搜索结果的相关性来设置赞助搜索结果。 搜索引擎首先从用户那里接收到一个搜索查询。 从搜索查询中进一步提取一个或多个关键字。 响应于搜索查询接收与一个或多个关键字相关的多个赞助搜索结果。 基于多个赞助搜索结果的相关性进一步确定多个赞助搜索结果的放置，并且向用户呈现包含多个赞助搜索结果的搜索结果页面。

公开(公告)号：WO2016155007A1

公开(公告)日：2016-10-06

申请号：PCT/CN2015/075876

申请日：2015-04-03

Applicant: YAHOO! INC.

Inventor： YANG, Guangxin ,  ZHOU, Ji ,  YANG, Shuo ,  XIA, Yan ,  WEI, Xiaojuan

IPC: G06F17/30

CPC classification number: G06F17/30371 ,  G06F17/30303 ,  G06F17/30604

Abstract: The present teaching relates to monitoring data in a plurality of data sources of heterogeneous types. In one example, a request is received for monitoring data in the data sources of heterogeneous types. One or more metrics are determined based on the request. The request is converted into one or more queries based on the one or more metrics. Each of the one or more queries is directed to at least one of the data sources of heterogeneous types. A monitoring task is created for monitoring the data in the data sources based on the one or more queries in response to the request.

Abstract translation: 本教导涉及监视异构类型的多个数据源中的数据。 在一个示例中，接收到用于监视异构类型的数据源中的数据的请求。 一个或多个指标根据请求确定。 该请求基于一个或多个指标被转换成一个或多个查询。 一个或多个查询中的每一个都针对异构类型的数据源中的至少一个。 创建监视任务，用于基于响应于该请求的一个或多个查询来监视数据源中的数据。

公开(公告)号：WO2016155002A1

公开(公告)日：2016-10-06

申请号：PCT/CN2015/075842

申请日：2015-04-03

Applicant: YAHOO! INC.

Inventor： YANG, Guangxin ,  WANG, Dongyue ,  GE, Sihan ,  WANG, Xingyu ,  LIANG, Wei

IPC: G06F17/30

CPC classification number: G06F11/1474 ,  G06F11/1464 ,  G06F17/30371 ,  G06F2201/84

Abstract: The present teaching relates to request management and data recovery in a data system. In one example, a request is received for a transaction of data by a first node in the data system. A second node in the data system is determined based on the request. The second node is to carry out the transaction. The request is stored into a first request queue at the first node. The request is sent to the second node. A notice is obtained indicating that information associated with the transaction has been persistently stored. The request is removed from the first request queue in response to the notice.

Abstract translation: 本教学涉及数据系统中的请求管理和数据恢复。 在一个示例中，由数据系统中的第一节点接收到用于数据交易的请求。 数据系统中的第二个节点是根据请求确定的。 第二个节点是执行交易。 该请求被存储在第一个节点的第一个请求队列中。 该请求被发送到第二个节点。 获得指示与事务相关联的信息已被持久存储的通知。 该请求将从第一个请求队列中删除，以响应该通知。

公开(公告)号：WO2016127338A1

公开(公告)日：2016-08-18

申请号：PCT/CN2015/072768

申请日：2015-02-11

Applicant: YAHOO! INC.

Inventor： FAN, Xin ,  WANG, Liang ,  ZHENG, Hao

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/3053 ,  G06F17/30958 ,  H04L67/10 ,  H04L67/306

Abstract: The present teaching relates to online user profiling. In one example, content associated with a first user of a social media network is obtained. From the content associated with the first user, a first link to a first piece of content is identified. A second user of the social media network associated with the first user is determined in the context of the social media network. From content associated with the second user of the social media network, a second link to a second piece of content is identified. The first and second pieces of content are retrieved based on the first and second links, respectively. User profile of the first user is generated based, at least in part, on the first and second pieces of content.

Abstract translation: 本教学涉及在线用户分析。 在一个示例中，获得与社交媒体网络的第一用户相关联的内容。 从与第一用户相关联的内容中，识别到第一内容的第一链接。 在社交媒体网络的上下文中确定与第一用户相关联的社交媒体网络的第二用户。 从与社交媒体网络的第二用户相关联的内容中，识别到第二内容片段的第二链接。 基于第一和第二链路分别检索第一和第二内容。 至少部分地基于第一和第二内容片段生成第一用户的用户简档。

公开(公告)号：WO2016109508A1

公开(公告)日：2016-07-07

申请号：PCT/US2015/067824

申请日：2015-12-29

Applicant: YAHOO! INC.

Inventor： VAISH, Gaurav ,  LOW, Daryl ,  SAXENA, Sanchan

IPC: H04L29/12 ,  H04L29/08

CPC classification number: G06F17/30887 ,  G06F17/30292 ,  H04L67/02

Abstract: An output resource identifier, such as a universal resource locator (URL), may be programmatically generated using one or more recomposition rules and decomposed parts of a source, or input, URL. The decomposed parts may be programmatically generated using one or more decomposition rules. The input and output URLs may comprise one or more of web and/or native URLs.

Abstract translation: 诸如通用资源定位符（URL）的输出资源标识符可以使用一个或多个重新构造规则和源或输入URL的分解部分以编程方式生成。 可以使用一个或多个分解规则以编程方式生成分解的部分。 输入和输出URL可以包括web和/或本机URL中的一个或多个。

公开(公告)号：WO2016106571A1

公开(公告)日：2016-07-07

申请号：PCT/CN2014/095607

申请日：2014-12-30

Applicant: YAHOO! INC.

Inventor： MA, Lin ,  BHATIA, Rohit ,  HAN, Xiao

IPC: G06F17/30

CPC classification number: G06Q30/0244 ,  G06Q30/0201 ,  G06Q30/0205

Abstract: Systems and methods for building keyword searchable audience based on performance ranking are provided. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database comprising segment data and campaign data. A computer server is in communication with the memory and the database, the computer server programmed to: obtain a performance-lift vector for an audience segment; obtain a campaign vector using meta-data from the campaign data; obtain a keyword vector for the audience segment using the performance-lift vector and the campaign vector; receive an input from a user interface accessible to an advertiser; and search the segment data at least partially based on the input and the keyword vector for segments in the segment data.

Abstract translation: 提供了基于性能排名建立关键字搜索受众的系统和方法。 该系统包括可处理器可访问的处理器和非暂时性存储介质。 该系统包括存储包含分段数据和活动数据的数据库的存储器。 计算机服务器与存储器和数据库通信，计算机服务器被编程为：为观众段获取演奏提升矢量; 从广告系列数据中获取使用元数据的广告系列向量; 使用性能提升向量和活动向量获取观众段的关键字向量; 从广告商可访问的用户界面接收输入; 并且至少部分地基于段数据中的段的输入和关键字向量来搜索段数据。

公开(公告)号：WO2016106088A1

公开(公告)日：2016-06-30

申请号：PCT/US2015/066437

申请日：2015-12-17

Applicant: YAHOO! INC.

Inventor： ROMAN, Manuel ,  ALLINSON, Ric ,  QIAN, Yujun

IPC: H04L9/32 ,  G06F21/10 ,  G06F17/30

CPC classification number: H04L63/08 ,  G06F17/301 ,  G06F17/30194 ,  G06F21/6218 ,  H04L63/10

Abstract: Automated centralized access to and management of content items stored on a plurality of content sources is provided. A content services module receives information regarding content sources which comprise third-party cloud storage servers and a user's personal computing devices in addition to receiving the user's access tokens for secured content sources. The content services modules act as a proxy for the user to the content sources and enables the user to execute various tasks across the content items stored in the various content sources via the interface.

Abstract translation: 提供对存储在多个内容源上的内容项的自动集中访问和管理。 除了接收用户对安全内容源的访问令牌之外，内容服务模块还接收关于包括第三方云存储服务器和用户的个人计算设备的内容源的信息。 内容服务模块充当用户对内容源的代理，并使用户能够通过该接口在存储在各种内容源中的内容项之间执行各种任务。