Numerical algorithms for personalized search in self-organizing information networks
Title:
Numerical algorithms for personalized search in self-organizing information networks
Author:
Kamvar, Sep, 1977-
ISBN:
9780691145037
Personal Author:
Publication Information:
Princeton, N.J. ; Oxford : Princeton University Press, c2010.
Physical Description:
xiv, 139 p. : ill. ; 24 cm.
Contents:
World Wide Web -- PageRank -- The second eigenvalue of the Google Matrix -- The condition number of the pagerank problem -- Extrapolation algorithms -- Adaptive pagerank -- BlockRank -- P2P networks. Query-cycle simulator -- EigenTrust -- Adaptive P2P topologies.
Abstract:
"This book lays out the theoretical groundwork for personalized search and reputation management, both on the Web and in peer-to-peer and social networks." The book develops scalable algorithms that exploit the graphlike properties underlying personalized search and reputation management, and delves into realistic scenarios regarding web-scale data.--[book cover]
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