DocumentCode
2861553
Title
Finding Related Pages Using the Link Structure of the WWW
Author
Chirita, Paul-Alexandru ; Olmedilla, Daniel ; Nejdl, Wolfgang
Author_Institution
L3S and University of Hannover, Germany
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
632
Lastpage
635
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.
Keywords
Algorithm design and analysis; Convergence; Filtering; Filters; Information resources; Performance evaluation; Search engines; Web pages; Web search; World Wide Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, 2004. WI 2004. Proceedings. IEEE/WIC/ACM International Conference on
Print_ISBN
0-7695-2100-2
Type
conf
DOI
10.1109/WI.2004.10056
Filename
1410884
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