Inproceedings,

The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank

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Advances in Neural Information Processing Systems 14, MIT Press, (2002)

Abstract

The PageRank algorithm, used in the Google search engine, greatly improves the results of Web search by taking into account the link structure of the Web. PageRank assigns to a page a score proportional to the number of times a random surfer would visit that page, if it surfed indefinitely from page to page, following all outlinks from a page with equal probability. We propose to improve PageRank by using a more intelligent surfer, one that is guided by a probabilistic model of the relevance of ...

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