A practical hypertext catergorization method using links and incrementally available class information

Authors:
Hyo-Jung Oh;Sung Hyon Myaeng;Mann-Ho Lee
Affiliations:
Electronics and Telecommunications, Research Institute (ETRI), Taejon, Korea;Department of Computer Science, Chungnam National University, Taejon, Korea;Department of Computer Science, Chungnam National University, Taejon, Korea
Venue:
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2000

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Abstract

As WWW grows at an increasing speed, a classifier targeted at hypertext has become in high demand. While document categorization is quite a mature, the issue of utilizing hypertext structure and hyperlinks has been relatively unexplored. In this paper, we propose a practical method for enhancing both the speed and the quality of hypertext categorization using hyperlinks. In comparison against a recently proposed technique that appears to be the only one of the kind, we obtained up to 18.5% of improvement in effectiveness while reducing the processing time dramatically. We attempt to explain through experiments what factors contribute to the improvement.