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    • 31. 发明申请
    • COMPUTATIONAL QUERY MODELING AND ACTION SELECTION
    • 计算查询建模和行动选择
    • WO2017184474A1
    • 2017-10-26
    • PCT/US2017/027846
    • 2017-04-17
    • MICROSOFT TECHNOLOGY LICENSING, LLC
    • AGARWAL, AlekhDUDIK, MiroslavKRISHNAMURTHY, AkshayLANGFORD, JohnSWAMINATHAN, Adith
    • G06F17/30
    • G06F16/24578G06F16/248G06F16/3326G06F16/337G06F16/9535G06N7/005
    • A computing device can determine a decomposition of data of actions of a first session based at least in part on a first computational model associating the actions of the first session with corresponding state values of the first session. The computing device can determine a second computational model based at least in part on the decomposition and an operation template. The computing device can receive a query via the communications interface, the query associated with the second session. The computing device can determine a state value of the second session based at least in part on the query. The computing device can operate the second computational model to determine at least one response associated with the query based at least in part on the state value of the second session. The computing device can provide an indication of the at least one response via the communications interface.
    • 计算设备可以至少部分地基于将第一会话的动作与第一会话的对应状态值相关联的第一计算模型来确定第一会话的动作的数据的分解。 计算设备可以至少部分地基于分解和操作模板来确定第二计算模型。 计算设备可以经由通信接口接收查询,该查询与第二会话相关联。 计算设备可以至少部分地基于该查询来确定第二会话的状态值。 计算设备可以操作第二计算模型以至少部分地基于第二会话的状态值来确定与查询相关联的至少一个响应。 计算设备可以通过通信接口提供对至少一个响应的指示。
    • 32. 发明申请
    • SYSTEM AND METHOD FOR BREAKING ARTIST PREDICTION IN A MEDIA CONTENT ENVIRONMENT
    • 用于在媒体内容环境中打破艺术家预测的系统和方法
    • WO2017182304A1
    • 2017-10-26
    • PCT/EP2017/058496
    • 2017-04-10
    • SPOTIFY AB
    • FISCHERSTRÖM, Ludvig
    • G06F17/30
    • G06N5/022G06F16/24578G06F16/435G06F16/48G06F16/635G06F16/68G06F16/735G06F16/78G06F16/9535
    • In accordance with an embodiment, described herein is a system and method for predicting artists that create media content who are more likely to increase in popularity. Users are determined who requested playback of media content items associated with one or more generators of popular media content within a window of time. One or more early adopters are determined from these users based on a quantity of the one or more generators of popular media content whose media content items were requested for playback by the users. Artists that create media content who are more likely to increase in popularity than other artists that create media content are then predicted based on following further requested playback of media content items by the one or more early adopters.
    • 根据实施例,这里描述的是用于预测创建更有可能增加受欢迎程度的媒体内容的艺术家的系统和方法。 确定谁在时间窗口内请求回放与一个或多个流行媒体内容的生成者相关联的媒体内容项目的用户。 基于其媒体内容项目被请求由用户回放的一个或多个流行媒体内容生成器的数量来从这些用户确定一个或多个早期使用者。 然后基于一个或多个早期采用者进一步请求回放媒体内容项目来预测创建比创建媒体内容的其他艺术家更可能增加人气的媒体内容的艺术家。
    • 34. 发明申请
    • AD-HOC COMMUNITY CONTEXT AWARENESS FOR MOBILE DEVICE
    • 针对移动设备的AD-HOC社区背景知识
    • WO2017172153A1
    • 2017-10-05
    • PCT/US2017/019565
    • 2017-02-27
    • INTEL CORPORATION
    • CEKER, HayreddinAYDIN, Bahadir ISEVINCER, Abdullah
    • H04W4/00H04W4/20H04W4/02H04W88/18
    • H04W4/30G06F16/9535G06F16/9537H04W4/023
    • Aspects of the disclosure are directed to solutions for determining context for a mobile computing device. The context represents a current user activity or environment in which the mobile device is used. The device generates a query for transmission to a remote community context service in response to a determined need to obtain community context information, such as when the device is unable to determine context with a sufficient confidence measure. Community context information is obtained from the remote community context service. The community context information is based on a remote context determination of at least one other mobile computing device determined to be similarly situated to the first computing device. The device's current context may be updated based on the community context information.
    • 本公开的各方面涉及用于确定移动计算设备的上下文的解决方案。 上下文表示使用移动设备的当前用户活动或环境。 响应于确定的获得社区上下文信息的需求,诸如当设备不能利用充分的置信度度量来确定上下文时,设备生成用于传输到远程社区上下文服务的查询。 社区上下文信息是从远程社区上下文服务获得的。 社区上下文信息基于被确定为类似地位于第一计算设备的至少一个其他移动计算设备的远程上下文确定。 设备的当前上下文可以基于社区上下文信息进行更新。
    • 36. 发明申请
    • METHOD, SYSTEM AND TOOL FOR CONTENT MODERATION
    • 内容调整的方法,系统和工具
    • WO2017162919A1
    • 2017-09-28
    • PCT/FI2017/050194
    • 2017-03-21
    • UTOPIA ANALYTICS OY
    • PACKALÉN, TomPAUKKERI, Mari-Sanna
    • G06F17/27G06F17/30H04L12/58
    • G06K9/6256G06F16/353G06F16/9535G06F17/2785G06K9/6253G06N20/00H04L51/12
    • The computer-executable method of the invention for moderating publication of data content by means of a moderator tool comprises providing a set of data contents to be used as training data. The data contents are labelled as acceptable or unacceptable contents. The moderator tool receives said training data and executes a first algorithm that identifies features that exist in the training data and extracts them and ending up with a feature space. The moderator tool executes a second algorithm in the feature space for defining a distribution of data features that differentiate between the acceptable contents and the unacceptable contents in order to create a moderation model. When the moderator tool receives a new data content to be moderated, it executes the moderator tool on the new data content for identifying the data features in the new data content to be moderated in accordance with the moderation model created, and for producing a moderation result for the new data content by indicating whether the new data content is acceptable or unacceptable. The invention is also concerned with a moderation system for moderating data contents by means of a computer-executable method and with a computer-executable tool for moderating data contents.
    • 通过主持人工具来调节数据内容的公开的本发明的计算机可执行方法包括提供一组数据内容以用作训练数据。 数据内容被标记为可接受或不可接受的内容。 主持人工具接收所述训练数据并且执行识别存在于训练数据中的特征并提取它们并结束于特征空间的第一算法。 主持人工具在特征空间中执行第二算法以定义区分可接受内容和不可接受内容的数据特征的分布,以便创建调节模型。 当主持人工具接收到要被主持的新数据内容时,它对新数据内容执行主持人工具,用于根据所创建的调节模型来标识将被调节的新数据内容中的数据特征,并且用于产生调节结果 通过指示新的数据内容是可接受的还是不可接受的,用于新的数据内容。 本发明还涉及一种通过计算机可执行方法和用于调节数据内容的计算机可执行工具来调节数据内容的调节系统。
    • 37. 发明申请
    • METHOD AND APPARATUS FOR BUILDING PREDICTION MODELS FROM CUSTOMER WEB LOGS
    • 从客户WEB日志建立预测模型的方法和设备
    • WO2017161125A1
    • 2017-09-21
    • PCT/US2017/022720
    • 2017-03-16
    • 24/7 CUSTOMER, INC.
    • SRI, R. MathangiSINGH, Bhupinder
    • G06Q30/02G06Q30/00G06F17/30
    • G06N5/04G06F16/9535G06F16/9566G06N20/00G06Q10/04G06Q30/00
    • A computer-implemented method and an apparatus to facilitate building of prediction models from customer Web logs includes receiving a Web log including unstructured data and structured data corresponding to a customer's journey on a Website. The structured data in the Web log is used to generate structured variables and the unstructured data in the Web log is used to generate unstructured variables. The generated structured and unstructured variables are concatenated to form a session string, which serves as a textual representation of the customer's journey on the Website. The session string is subjected to text-based processing to generate a plurality of features. The plurality of features are used to build one or more prediction models for facilitating prediction of at least one response variable corresponding to the customers visiting the Website.
    • 用于促进从客户Web日志建立预测模型的计算机实现的方法和装置包括接收包括非结构化数据和对应于客户在网站上的旅程的结构化数据的Web日志。 Web日志中的结构化数据用于生成结构化变量,Web日志中的非结构化数据用于生成非结构化变量。 生成的结构化和非结构化变量连接起来形成一个会话字符串,作为客户在网站上的旅程的文本表示。 会话字符串受到基于文本的处理以生成多个特征。 多个特征用于构建一个或多个预测模型,以便于预测对应于访问该网站的客户的至少一个响应变量。