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Improved PageRank Algorithm Based on the Residence Time of the Website

机译:基于网站停留时间的改进PageRank算法

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The original PageRank algorithm on the old webpage, on end in Com website, webpage cannot distinguish between the hyperlinks and webpage subject related, is unable to determine the webpage content similarity, easily lead to topic drift phenomenon. Through to analysis the goole search engine algorithms, to consider the problem that the PageRank algorithm only considers the web page hyperlink and ignore the web page content, this article put forward to introduce the time that user have stayed and prove it is Superior.
机译:原网页上的原始PageRank算法,最终在Com网站上出现,网页无法区分超链接和与网页主题相关的内容,无法确定网页内容的相似性,容易导致主题漂移现象。通过对goole搜索引擎算法的分析,考虑PageRank算法仅考虑网页超链接而忽略网页内容的问题,本文提出介绍用户停留时间并证明其优越性的问题。

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