Finding related pages using the link structure of the WWW

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Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
EditorsN. Zhong, H. Tirri, Y. Yao, L. Zhou
Pages632-635
Number of pages4
Publication statusPublished - 2004
EventIEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 - Beijing, China
Duration: 20 Sept 200424 Sept 2004

Publication series

NameProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004

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.

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Finding related pages using the link structure of the WWW. / Chirita, Paul Alexandra; Olmedilla, Daniel; Nejdl, Wolfgang.
Proceedings: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. ed. / N. Zhong; H. Tirri; Y. Yao; L. Zhou. 2004. p. 632-635 (Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Chirita, PA, Olmedilla, D & Nejdl, W 2004, Finding related pages using the link structure of the WWW. in N Zhong, H Tirri, Y Yao & L Zhou (eds), Proceedings: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, pp. 632-635, IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, Beijing, China, 20 Sept 2004. https://doi.org/10.1109/WI.2004.10056
Chirita, P. A., Olmedilla, D., & Nejdl, W. (2004). Finding related pages using the link structure of the WWW. In N. Zhong, H. Tirri, Y. Yao, & L. Zhou (Eds.), Proceedings: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004 (pp. 632-635). (Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004). https://doi.org/10.1109/WI.2004.10056
Chirita PA, Olmedilla D, Nejdl W. Finding related pages using the link structure of the WWW. In Zhong N, Tirri H, Yao Y, Zhou L, editors, Proceedings: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. 2004. p. 632-635. (Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004). doi: 10.1109/WI.2004.10056
Chirita, Paul Alexandra ; Olmedilla, Daniel ; Nejdl, Wolfgang. / Finding related pages using the link structure of the WWW. Proceedings: IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. editor / N. Zhong ; H. Tirri ; Y. Yao ; L. Zhou. 2004. pp. 632-635 (Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004).
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