PERSONALIZATION OF NEWS ARTICLES BASED ON NEWS SOURCES
    1.
    发明申请
    PERSONALIZATION OF NEWS ARTICLES BASED ON NEWS SOURCES 有权
    基于新闻来源的新闻文章个性化

    公开(公告)号:US20140222800A1

    公开(公告)日:2014-08-07

    申请号:US14249055

    申请日:2014-04-09

    Applicant: YAHOO! INC.

    Abstract: News search and browse experience is personalized based on user preferences. User attributes like a geographic location are obtained and news sources preferred by other users with attributes similar to those of a requesting user are identified. News sources that are popular across different user groups are eliminated and relevant news items from the remaining news sources are retrieved and presented to the requesting user.

    Abstract translation: 新闻搜索和浏览体验基于用户偏好进行个性化。 获得诸如地理位置的用户属性,并且识别出具有与请求用户的属性相似的属性的其他用户优选的新闻源。 在不同用户组中流行的新闻来源被消除,并且来自剩余新闻来源的相关新闻项被检索并呈现给请求用户。

    METHOD AND SYSTEM FOR PROVIDING ADVERTISEMENTS BASED ON SEMANTIC REPRESENTATIONS

    公开(公告)号:US20170140429A1

    公开(公告)日:2017-05-18

    申请号:US14938956

    申请日:2015-11-12

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0256 G06F16/3329 G06F16/9535 G06Q30/0275

    Abstract: The present teaching relates to methods, systems, and programming for providing advertisements based on semantic representations. In one example, a request is obtained for advertisement. The request incorporates a query. The query is parsed to generate a semantic representation of the query. A plurality of advertisements indexed by their respective semantic representations is obtained. Among the plurality of advertisements, one or more advertisements are determined whose semantic representations match the semantic representation of the query. The one or more advertisements are provided as a response to the request.

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