Abstract
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.
Fund project: Research on the search engine technology for public security network monitoring. No: 11C0510.
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Liu, DX., Yan, X., Xie, W. (2012). Improved PageRank Algorithm Based on the Residence Time of the Website. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_76
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DOI: https://doi.org/10.1007/978-3-642-31576-3_76
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