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Authoritative Sources in a Hyperlinked Environment (HITS) John M. Kleinberg - HITS Hypertext Induced Topic Selection (HITS) is a link analysis algorithm that rates Web pages for their authority and hub values. Authority value estimates the value of the content of the page; hub value estimates the value of its links to other pages.
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Citation indexes for science. Eugene Garfield |
Combating Web Spam with TrustRank Zoltan Gyongyi, Hector Garcia-Molina, Jan Pederse - TrustRank is a link analysis technique described in a paper by Yahoo! researchers for semi-automatically separating useful webpages from spam.[1]
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Deeper Inside PageRank Amy N. Langville, Carl D. Meyer |
How Google Finds Your Needle in the Web David Austin |
Predicting Fame and Fortune: PageRank or Indegree? Trystan Upstill, Nick Craswell, David Hawking - Experiments report a high correlation betweenPageRank and log indegree on the WWW.
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The Anatomy of a Large-Scale Hypertextual Web Search Engine S. Brin, L. Page - An article that describes an early Google architecture.
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Topical TrustRank: Using Topicality to Combat Web Spam Baoning Wu, Vinay Goel, Brian D. Davison |
Towards Scaling Fully Personalized PageRank Dániel Fogaras, Balázs Rácz |
Web Graph and PageRank algorithm Danil Nemirovsky - The article reviews algorithms of efficient PageRank computation: power method, decomposition, and aggregation/disaggregation.
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