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SEARCH-BASED URL-INFERENCE MODEL

机译:基于搜索的URL推断模型

摘要

Techniques of inferring an organic website URL of an organization based on a web search result are provided. A query that includes an organization name is sent to a search engine and a set of search results is received from the search engine as a result of the query. Each search result in the set of search results includes a URL for the organization website address. For each search result in the set of search results, a set of feature values that is associated with each search result is identified. The set of feature values is inputted to a prediction model that generates a prediction, and based on the prediction, a determination of whether to associate the URL of each search result with the organization name is made.
机译:提供了基于网络搜索结果推断组织的有机网站URL的技术。包含组织名称的查询将发送到搜索引擎,并作为查询结果从搜索引擎接收一组搜索结果。搜索结果集中的每个搜索结果都包含组织网站地址的URL。对于搜索结果集中的每个搜索结果,标识与每个搜索结果相关联的一组特征值。该组特征值被输入到生成预测的预测模型,并且基于该预测,确定是否将每个搜索结果的URL与组织名称相关联。

著录项

  • 公开/公告号US2020311156A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 MICROSOFT TECHNOLOGY LICENSING LLC;

    申请/专利号US201916370642

  • 发明设计人 JUNZHE MIAO;YUNPENG XU;WENXUAN GAO;

    申请日2019-03-29

  • 分类号G06F16/955;G06F16/953;G06N20;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-21 11:22:33

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