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    • 1. 发明授权
    • Systems and methods of retrieving relevant information
    • 检索相关信息的系统和方法
    • US08086601B2
    • 2011-12-27
    • US12031553
    • 2008-02-14
    • Brian S. KimSudong ChungAnurag DodMichael KimYeogiri Yun
    • Brian S. KimSudong ChungAnurag DodMichael KimYeogiri Yun
    • G06F7/00G06F17/30
    • G06F17/30864Y10S707/917Y10S707/99935Y10S707/99937
    • The present invention provides systems and methods of retrieving the pages according to the quality of the individual pages. The rank of a page for a keyword is a combination of intrinsic and extrinsic ranks. Intrinsic rank is the measure of the relevancy of a page to a given keyword as claimed by the author of the page while extrinsic rank is a measure of the relevancy of a page on a given keyword as indicated by other pages. The former is obtained from the analysis of the keyword matching in various parts of the page while the latter is obtained from the context-sensitive connectivity analysis of the links connecting the entire Web. The present invention also provides the methods to solve the self-consistent equation satisfied by the page weights iteratively in a very efficient way. The ranking mechanism for multi-word query is also described. Finally, the present invention provides a method to obtain the more relevant page weights by dividing the entire hypertext pages into distinct number of groups.
    • 本发明提供了根据各个页面的质量检索页面的系统和方法。 关键字页面的排名是内在和外在级别的组合。 本质等级是页面作者所声称的页面与给定关键字的相关性的度量,而外在秩是衡量其他页面所指示的给定关键字上的页面的相关性。 前者是从对页面各个部分的关键字匹配的分析获得的,而后者是从连接整个Web的链接的上下文相关连接性分析获得的。 本发明还提供了以非常有效的方式迭代地求解由页权重满足的自相一致方程式的方法。 还描述了多字查询的排名机制。 最后,本发明提供了一种通过将整个超文本页划分成不同数量的组来获得更相关页面权重的方法。