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http://clasione.proboards3.com/
Discusses link popularity and Google`s pagerank algorithm.
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http://www.gimenei.com/
Queries five sources and uses its own algorithm to filter and rank results. Options include browsing a modified directory from the Open Directory, search by phrase or words, and request timeout.
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http://www.searchengineposition.com/info/articles/GoogleForidaUpdate.asp
Rob Sullivan of Search Engine Positioning argues that the change of algorithm implemented on November 16 2003 uses technology from Applied Semantics and Kaltix.
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http://www.searchengineposition.com/info/netprofit/florida2.asp
Gord Hotchkiss of Search Engine Positioning looks at Google`s new algorithm and reactions to it. Includes the possible use of Applied Semantics.
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http://www.stanford.edu/~sdkamvar/papers/blockrank.pdf
This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub presents an algorithm to vastly speed up the computation of PageRank.
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http://www.stanford.edu/~sdkamvar/papers/secondeigenvalue.pdf
This paper by Sepandar Kamvar and Taher Haveliwala proves analytically the second eigenvalue of the Google Matrix, which has implications for the PageRank algorithm.
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http://www.stanford.edu/~sdkamvar/papers/adaptive.pdf
This paper by Sepandar Kamvar, Taher Haveliwala, and Gene Golub describes an algorithm to speed up the computation of PageRank using the fact that pages converge at different rates.
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http://www.stanford.edu/~sdkamvar/papers/extrapolation.pdf
This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub, published in WWW13, presents an algorithm to speed up the computation of PageRank by making some initial approximations.
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http://pr.efactory.de/
Information on the algorithm, how to increase PageRank, what diminishes it and how to distribute PageRank within a website.
Keywords: pagerank, google
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