An architecture for probabilistic concept-based information retrieval

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An architecture for probabilistic concept-based information retrieval

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Brussels, Belgium

Pages: 455 - 467

Year of Publication: 1989

ISBN:0-89791-408-2

Authors

R. M. Fung	Advanced Decision Systems, 1500 Plymouth Street, Mountain View, California
S. L. Crawford	Advanced Decision Systems, 1500 Plymouth Street, Mountain View, California
L. A. Appelbaum	Advanced Decision Systems, 1500 Plymouth Street, Mountain View, California
R. M. Tong	Advanced Decision Systems, 1500 Plymouth Street, Mountain View, California

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
U. lib de Bruxelles :

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 5, Downloads (12 Months): 29, Citation Count: 7

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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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CITED BY 7

	Robert Fung , Brendan Del Favero, Applying Bayesian networks to information retrieval, Communications of the ACM, v.38 n.3, p.42-ff., March 1995
	Fabio Crestani , Mounia Lalmas , Cornelis J. Van Rijsbergen , Iain Campbell, “Is this document relevant?…probably”: a survey of probabilistic models in information retrieval, ACM Computing Surveys (CSUR), v.30 n.4, p.528-552, Dec. 1998
	Chidanand Apté , Fred Damerau , Sholom M. Weiss, Automated learning of decision rules for text categorization, ACM Transactions on Information Systems (TOIS), v.12 n.3, p.233-251, July 1994
	Fredric C. Gey, Inferring probability of relevance using the method of logistic regression, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.222-231, July 03-06, 1994, Dublin, Ireland
	Ramesh Nallapati , James Allan, Capturing term dependencies using a language model based on sentence trees, Proceedings of the eleventh international conference on Information and knowledge management, November 04-09, 2002, McLean, Virginia, USA
	Andrew K. C. Wong , Yang Wang, High-Order Pattern Discovery from Discrete-Valued Data, IEEE Transactions on Knowledge and Data Engineering, v.9 n.6, p.877-893, November 1997
	Luis M. de Campos , Juan M. Fernández-Luna , Juan F. Huete, Bayesian networks and information retrieval: an introduction to the special issue, Information Processing and Management: an International Journal, v.40 n.5, p.727-733, September 2004