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Author Chirita, P. ♦ Olmedilla, D. ♦ Nejdl, W.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2004
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Algorithm design and analysis ♦ Performance evaluation ♦ Information resources ♦ Filters ♦ Filtering ♦ Web pages ♦ Search engines ♦ World Wide Web ♦ Web search ♦ Convergence
Abstract Most of the current algorithms for finding related pages are exclusively based on text corpora of the WWW or incorporate only authority or hub values of pages. In this paper, we present HubFinder, a new fast algorithm for finding related pages exploring the link structure of the Web graph. Its criterion for filtering output pages is "pluggable", depending on the user's interests, and may vary from global page ranks to text content, etc. We also introduce HubRank, a new ranking algorithm which gives a more complete view of page "importance" by biasing the authority measure of PageRank towards hub values of pages. Finally, we present an evaluation of these algorithms in order to prove their qualities experimentally.
Description Author affiliation: L3S and University of Hannover, Germany (Chirita, P.)
ISBN 0769521002
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2004-09-20
Publisher Place China
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 136.66 kB
Page Count 4
Starting Page 632
Ending Page 635


Source: IEEE Xplore Digital Library