Evaluating contents-link coupled web page clustering for web search results

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2002, Pages 499-506

  Wang, Yitong ^a   Kitsuregawa, Masaru ^a  

^a INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

Anchor window; Co citation; Coupling; Snippet

Indexed keywords

ALGORITHMS; HYPERTEXT SYSTEMS; INFORMATION RETRIEVAL SYSTEMS; MERGING; SEARCH ENGINES; SEMANTICS;

ANCHOR WINDOW; CO-CITATION; CONTENTS-LINK COUPLED WEB PAGE CLUSTERING; SNIPPER;

WEBSITES;

EID: 0038156234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/584792.584875     Document Type: Conference Paper

References (26)

1. Agrawal and Srikant 94 Fast Algorithms for mining Association rules VLDB'94, Chile.
2. A.V. Leouski et. al. 96 An evaluation of techniques for clustering search results. Technical Report, University of Massachusetts, Amherst
3. Brin and Page 98 The anatomy of a large scale hypertextual web search engine. WWW7, Australia
4. Broder et. al. 97 Syntactic clustering of the Web. WWW6
5. Cutting, D.R. et. al.92 Scatter/gather: A Cluster-based approach to browsing large document collections. ACM SIGIR'92, pp 318-329, 1997.
6. Daniel Boley et al. Partitioning-based Clustering for web document Categorization, it can be found at www.enterpriseware.net/EWRoot/Files/Boley1999a.pdf
7. Dharmendra S Modha et.al 00 Clustering hypertext with applications to web search Research Report of IBM Almaden Research Center
8. Einat Amitay Using common hypertext links to identify the best phrasal description of target web documents, SIGIR'98 workshop for Hypertext IR for the web
9. Gibson, Kleinberg et. al 98 Inferring Web communities from link topology. Hypertext'98.
10. H. Small, Co-citation in the scientific literature: A new measure of the relationship between two documents, J. American Soc. Info. Sci., 24(1973), pp 265-269
11. James Pitkow et. al. Life, Death and lawfulness on the Electronic Frontier. SIGCHI'97
12. J. Dean and M. Henzinger 99 Finding related page in the World Wide Web. WWW8
13. Kleinberg 98 Authoritative sources in a hyperlinked environment. SODA, January 1998.
14. Lenoard Kaufman and Peter J. Rousseeuw. Finding groups in Data: an introduction to cluster analysis Wiley, 1990
15. Michael Steinbach, et. al. A Comparison of Document Clustering techniques KDD'2000
16. M.M. Kessler, Bibliographic coupling between scientific papers American Documentation, 14(1963), pp 10-25
17. Oren Zamir and Oren Etzioni 99 Grouper: A Dynamic Clustering Interface to Web Search Results, WWW8, Toronto Canada.
18. Oren Zamir and Oren Etzioni 97 Fast and Intuitive clustering of Web documents, KDD'97
19. Oren Zamir et. al. 98 Web document clustering: A feasibility demonstration SIGIR'98, Australia.
20. Ravi Kumar et. al. 99 Trawling the Web for emerging cyber-communities WWW8, 1999
21. Richard C. Dubes and Anil K. Jain, Algorithms for Clustering Data, Prentice Hall, 1988
22. Ron Weiss et. al. 96 Hypursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering Hypertext'96 Washington USA
23. Taher H.Haveliwa et. al. 99 Scalable techniques for Clustering the Web.
24. Taher H. Haveliwa et. al. Similarity Search on the Web: Evaluation and Scalability Considerations Extended Technical Report, 2000
25. Yitong Wang and Masaru Kitsuregawa, Use Link-based clustering to improve web search results, WISE'01, 2001
26. Zhihua Jiang et. al. Retriever: Improving Web Search Engine Results Using Clustering