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    • 53. 发明授权
    • Query expansion for web search
    • 网页搜索的查询扩展
    • US08898156B2
    • 2014-11-25
    • US13040192
    • 2011-03-03
    • Jun XuHang Li
    • Jun XuHang Li
    • G06F17/30
    • G06F17/30864G06F17/30672
    • Systems, methods, and devices are described for retrieving query results based at least in part on a query and one or more similar queries. Upon receiving a query, one or more similar queries may be identified and/or calculated. In one embodiment, the similar queries may be determined based at least in part on click-through data corresponding to previously submitted queries. Information associated with the query and each of the similar queries may be retrieved, ranked, and or combined. The combined query results may then be re-ranked based at least in part on a responsiveness and/or relevance to the previously submitted query. The re-ranked query results may then be output to a user that submitted the original query.
    • 描述了至少部分地基于查询和一个或多个类似查询来检索查询结果的系统,方法和设备。 在接收到查询时,可以识别和/或计算一个或多个类似的查询。 在一个实施例中,可以至少部分地基于对应于先前提交的查询的点击数据来确定类似的查询。 与查询相关联的信息和每个相似查询可以被检索,排序和/或组合。 组合的查询结果可以至少部分地基于对先前提交的查询的响应性和/或相关性来重新排序。 然后可以将重新排列的查询结果输出给提交原始查询的用户。
    • 56. 发明授权
    • Search results ranking using editing distance and document information
    • 使用编辑距离和文档信息搜索结果排名
    • US08812493B2
    • 2014-08-19
    • US12101951
    • 2008-04-11
    • Vladimir TankovichHang LiDmitriy MeyerzonJun Xu
    • Vladimir TankovichHang LiDmitriy MeyerzonJun Xu
    • G06F7/00
    • G06F17/2211G06F17/30864
    • Architecture for extracting document information from documents received as search results based on a query string, and computing an edit distance between the data string and the query string. The edit distance is employed in determining relevance of the document as part of result ranking by detecting near-matches of a whole query or part of the query. The edit distance evaluates how close the query string is to a given data stream that includes document information such as TAUC (title, anchor text, URL, clicks) information, etc. The architecture includes the index-time splitting of compound terms in the URL to allow the more effective discovery of query terms. Additionally, index-time filtering of anchor text is utilized to find the top N anchors of one or more of the document results. The TAUC information can be input to a neural network (e.g., 2-layer) to improve relevance metrics for ranking the search results.
    • 用于基于查询字符串从作为搜索结果接收的文档提取文档信息的结构,以及计算数据串和查询字符串之间的编辑距离。 编辑距离用于通过检测整个查询或部分查询的近似匹配来确定文档作为结果排名的一部分的相关性。 编辑距离评估查询字符串与包含诸如TAUC(标题,锚文本,URL,点击)信息等文档信息的给定数据流的距离。该体系结构包括索引时间分割URL中的复合术语 以便更有效地发现查询条款。 另外,使用锚文本的索引时间过滤来查找一个或多个文档结果的前N个锚点。 可以将TAUC信息输入到神经网络(例如,2层),以改进用于对搜索结果排序的相关性度量。