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Other Uses of PageRank The original goal of PageRank was a way to sort backlinks so if there were a large numb er of backlinks for a do cument the b est backlinks could b e displayed rst We have implemented such a system It turns out this view of the backlinks ordered by PageRank can b e very interesting when trying to understand your comp etition For example the p eople who run a news site always want to keep track of any signicant backlinks the comp etition has managed to get Also PageRank can help the user decide if a site is trustworthy or not For example a user might information that is directly cited from the Stanford homepage Conclusion b e inclined to trust the World Wide pages regardless In this pap er we have taken on the audacious task of condensing every page Web into a single numb er its PageRank PageRank is a global ranking of all web of their content based solely on their lo cation in the Webs graph structure Using PageRank we are able to order search results so that more imp ortant and central Web pages are given preference In exp eriments this turns out to provide higher quality search results to users Th intuition b ehind PageRank is that it uses information which is exernal to the Web pages themselves their backlinks which provide a kind of p eer review Furthermore backlinks from imp ortant pages are more signicant than backlinks from average pages This is encompassed in the recursive denition of PageRank Section PageRank could b e used to separate out a small set of commonly used do cuments which can answer most queries The full database only needs to be consulted when the small database is not adequate to answer a query Finally PageRank may b e a go o d way to help nd representative pages to display for a cluster center We have found a numb er of applications for PageRank in addition to search which include trac estimation and user navigation Also we can generate p ersonalized PageRanks which can create a view of Web from a particular p ersp ective Overall our exp eriments with PageRank suggest that the structure of the Web graph is very useful for a variety of information retrieval tasks References BP Sergey Brin and Larry Page Go ogle search engine httpgooglestanfordedu CGMP Jungho o Cho Hector GarciaMolina and Lawrence Page Ecient crawling through url ordering In To Appear Proceedings of the Seventh International Web Conference WWW Gar Eugene Gareld New international professional so ciety signals the maturing of sciento metrics and informetrics The Scientist Aug httpwwwthe scientist libraryupenneduyraugustissihtml Gof William Goman A mathematical metho d for analyzing the growth of a scientic discipline Journal of the ACM April Kle Jon Kleinb erg Authoritative sources in a hyp erlinked environment In Proceedings of the Nineth Annual ACMSIAM Symposium on Discrete Algorithms onPDF Image | PageRank Citation Ranking Bringing Order to the Web
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