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A similarity-based probability model for latent semantic indexing
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Berkeley, California, United States
Pages: 58 - 65  
Year of Publication: 1999
ISBN:1-58113-096-1
Author
Chris H. Q. Ding  NERSC Division, Lawrence Berkeley National Laboratory, University of California, Berkeley, CA
Sponsor
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 118,   Citation Count: 25
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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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S. Deerwester, S.T. Dumais, T.K. Landauer, G.W. Furnas, R.A. Harshman. Indexing by latent semantic analysis. J.Amer.Soc.Info.Sci, 41(6), pp.391-407. 1990.
 
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S.T. Dumais. Improving the retrieval of information from external sources. Behavior Research Methods, Instruments and Computers, 23(2), 229-236. 1991.
 
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S.T. Dumais. Using LSI for information filtering: TREC-3 experiments. D. Harman (Ed.), Overview of TREC-3, National Institute of Standards and Technology Special Publication, Tech-report 500-335, 1995.
 
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CITED BY  25