Implications of Boolean structure for probabilistic retrieval

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Implications of Boolean structure for probabilistic retrieval

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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval table of contents

Montreal, Quebec, Canada

Pages: 11 - 17

Year of Publication: 1985

ISBN:0-89791-159-8

Author

Abraham Bookstein

Graduate Library School, University of Chicago, 1100 E. 57th St., Chicago, IL

Sponsor

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 10, Downloads (12 Months): 23, Citation Count: 3

Additional Information:

references cited by collaborative colleagues

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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.

	1	Lancaster, F.W. Information Retrieval Systems: Characteristics, Testing aqd (2nd Ed). New York: Wiley- Interscience. 1979.
	2	Gerard Salton , Michael J. McGill, Introduction to Modern Information Retrieval, McGraw-Hill, Inc., New York, NY, 1986
	3	Cooper, W.S. "Exploiting the ~,'aximum Entropy Principle to Increase Retrieval Effectiveness." Journal o~ ~he American Society for Information Science. 1983; 34 (I): 31-39.
	4	Roochlo, J.J. Relevance Feedback in Information Retrieval. In: Salton, G. (ed.) The SMART Retrivail Svstem_L Experiments in Automatic Document Processing. Englewood Cliffs, N.J.: Prentice-Hall. 1971.
	5	Bookstein, A. and Swanson D. "A Decision Theoretic Foundation for Indexing." Journal of The American Society for Information Science. 1975; 26: 45-50.
	6	Robertson, S.E. and Sparck-Jones, K. "RelevanceWeighting of Search Terms." Journal 9.~ the American Society ~'or Information Science. 1976; 27: 129- 146.
	7	Radeck$, T. ,Fuzzy ~et Theoretical Approach to Document Retrieval." ~.q~LgJ~Lq~ Processing and. {mna~ement. 1979; 15: 247-59.
	8	Bookstein, A. "Fuzzy Requests." Journal ~Z~ the American Society ~OZ Information Science. 1980; 31 (3): 240--47.
	9	Bookstein, A. "Outline of a General Probabilistic Retrieval Hodel." Journal ~ ~geumentation. 1983; 39 (2): 63-72.
	10	Gerard Salton , Edward A. Fox , Harry Wu, Extended Boolean information retrieval, Communications of the ACM, v.26 n.11, p.1022-1036, Nov. 1983 [doi>10.1145/182.358466]
	11	Robertson, S.E. "The Probability Ranking Principle in IR." Journal ~_~ Documentation. 1977; 33: 294-304.
	12	Jean Tague , Michael Nelson, Simulation of bibliographic retrieval databases using hyperterms, Proceedings of the 5th annual ACM conference on Research and development in information retrieval, p.194-208, May 18-20, 1982, West Berlin, Germany

CITED BY 3

	William S. Cooper , Fredric C. Gey , Daniel P. Dabney, Probabilistic retrieval based on staged logistic regression, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.198-210, June 21-24, 1992, Copenhagen, Denmark
	S. K. M. Wong , Y. Y. Yao, On modeling information retrieval with probabilistic inference, ACM Transactions on Information Systems (TOIS), v.13 n.1, p.38-68, Jan. 1995
	Tamas E. Doszkocs, IR, NLP, AI and UFOS: or IR-relevance, natural language problems, artful intelligence and user-friendly online systems, Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval, p.49-57, September 1986, Palazzo dei Congressi, Pisa, Italy

Collaborative Colleagues:

Abraham Bookstein: colleagues

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