(Enter summary)
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... (Update)
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BibTeX entry: (Update)
Matthew Richardson and Pedro Domingos. The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank, volume 14. MIT Press, Cambridge, MA, 2002 (To appear). http://citeseer.ist.psu.edu/richardson02intelligent.html More
@misc{ richardson02intelligent,
author = "M. Richardson and P. Domingos",
title = "The Intelligent Surfer: Probabilistic Combination of Link and Content Information
in PageRank",
text = "Matthew Richardson and Pedro Domingos. The Intelligent Surfer: Probabilistic
Combination of Link and Content Information in PageRank, volume 14. MIT
Press, Cambridge, MA, 2002 (To appear).",
year = "2002",
url = "citeseer.ist.psu.edu/richardson02intelligent.html" }
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The anatomy of a large-scale hypertextual Web search engine
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Authoritative sources in a hyperlinked environment
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The PageRank citation ranking: Bringing order to the web
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Efficient computation of PageRank
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