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Clustering user queries of a search engine
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Source International World Wide Web Conference archive
Proceedings of the 10th international conference on World Wide Web table of contents
Hong Kong, Hong Kong
Pages: 162 - 168  
Year of Publication: 2001
ISBN:1-58113-348-0
Authors
Ji-Rong Wen  Microsoft Research, China, 5F, Beijing Sigma Center, No.49, Zhichun Road Haidian District, Beijing, P.R.China
Jian-Yun Nie  Dept. Informatique et Recherche, opérationnelle, University of Montreal, CP 6128, succursale Centre-ville, Montreal, H3C 3J7 Canada
Hong-Jiang Zhang  Microsoft Research, China, 5F, Beijing Sigma Center, No.49, Zhichun Road Haidian District, Beijing, P.R.China
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGLINK: Hypertext, Hypermedia, and Web
IW3C2 : International World Wide Web Conference Committee
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 30,   Downloads (12 Months): 229,   Citation Count: 43
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Ester, M., Kriegel, H., Sander, J. and Xu, X. A density-based algorithm for discovering clusters in large spatial databases with noise. Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining. Portland, OR. 1996, pp. 226-231.
 
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Miller, G. (Ed.) Wordnet: an on-line lexical database. International Journal of Lexicography. 1990.
 
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Robertson, S.E., Maron, M.E. and Cooper, W.S. Probability of relevance: a unification of two competing models for document retrieval. Information Technology: Research and Development, 1(1-21). 1982.
 
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Porter, M. An algorithm for suffix stripping. Program, Vol. 14(3), pp. 130137, 1980
 
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Srihari, R. and Li, W. Question answering supported by information extraction. Proc. of TREC8, pp. 75-85, 1999.
 
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CITED BY  43

Collaborative Colleagues:
Ji-Rong Wen: colleagues
Jian-Yun Nie: colleagues
Hong-Jiang Zhang: colleagues