Method and system for recommending relevant web content to second screen application users
    1.
    发明授权
    Method and system for recommending relevant web content to second screen application users 有权
    向第二屏幕应用程序用户推荐相关网页内容的方法和系统

    公开(公告)号:US09268861B2

    公开(公告)日:2016-02-23

    申请号:US13969920

    申请日:2013-08-19

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30867

    Abstract: Disclosed is a system and method for recommending web content to a second screen. A server computer analyzes closed captioning text associated with a media program being experienced in a time period by a user having a client device. In response to the analyzing of the closed captioning text, the server automatically extracts an entity from the closed captioning text and determines an online web page describing the entity. The server utilizes a graph model to retrieve a relevant information item for the entity, where the graph model includes a plurality of entity nodes and a plurality of query nodes. The server communicates, within the time period, the relevant information item to the client device.

    Abstract translation: 公开了一种用于向第二屏幕推荐网络内容的系统和方法。 服务器计算机分析与具有客户端设备的用户在一段时间内经历的与媒体节目相关联的隐藏字幕文本。 响应于对隐藏字幕文本的分析,服务器自动从隐藏字幕文本中提取实体并确定描述该实体的在线网页。 服务器利用图形模型来检索实体的相关信息项,其中图形模型包括多个实体节点和多个查询节点。 服务器在时间段内将相关信息项目通信给客户端设备。

    METHOD AND SYSTEM FOR RECOMMENDING RELEVANT WEB CONTENT TO SECOND SCREEN APPLICATION USERS
    2.
    发明申请
    METHOD AND SYSTEM FOR RECOMMENDING RELEVANT WEB CONTENT TO SECOND SCREEN APPLICATION USERS 有权
    用于建议第二屏幕应用用户的相关网络内容的方法和系统

    公开(公告)号:US20150052126A1

    公开(公告)日:2015-02-19

    申请号:US13969920

    申请日:2013-08-19

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30867

    Abstract: Disclosed is a system and method for recommending web content to a second screen. A server computer analyzes closed captioning text associated with a media program being experienced in a time period by a user having a client device. In response to the analyzing of the closed captioning text, the server automatically extracts an entity from the closed captioning text and determines an online web page describing the entity. The server utilizes a graph model to retrieve a relevant information item for the entity, where the graph model includes a plurality of entity nodes and a plurality of query nodes. The server communicates, within the time period, the relevant information item to the client device.

    Abstract translation: 公开了一种用于向第二屏幕推荐网络内容的系统和方法。 服务器计算机分析与具有客户端设备的用户在一段时间内经历的与媒体节目相关联的隐藏字幕文本。 响应于对隐藏字幕文本的分析,服务器自动从隐藏字幕文本中提取实体并确定描述该实体的在线网页。 服务器利用图形模型来检索实体的相关信息项,其中图形模型包括多个实体节点和多个查询节点。 服务器在时间段内将相关信息项目通信给客户端设备。

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