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Probabilistic approaches to the document retrieval problem
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Source Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 5th annual ACM conference on Research and development in information retrieval table of contents
West Berlin, Germany
Pages: 98 - 107  
Year of Publication: 1982
ISBN:0-387-11978-7
Author
M. E. Maron  University of California, Berkeley, California
Sponsors
ACM: Association for Computing Machinery
: British Computer Society
Publisher
Springer-Verlag New York, Inc.  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 2,   Downloads (12 Months): 17,   Citation Count: 4
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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
Norbert Wiener, Cybernetics, Second Edition: or the Control and Communication in the Animal and the Machine, The MIT Press, 1965
 
2
Shannon, Claude, "The Mathametical Theory of Communication", <u>Bell System Technical Journal</u>, July and October 1948.
 
3
Bush, Vannevar, "As We May Think", <u>Atlantic Monthly</u>, Vol 176, July 1945.
4
M. E. Maron , J. L. Kuhns, On Relevance, Probabilistic Indexing and Information Retrieval, Journal of the ACM (JACM), v.7 n.3, p.216-244, July 1960  [doi>10.1145/321033.321035]
 
5
Robertson, S.E. and Sparck Jones, K., "Relevance Weighting of Search Terms", <u>J.A.S.I.S</u>., Volume 27, 1967.
 
6
Robertson, S.E., Maron, M.E. and Cooper, W.S., "Probability of Relevance: A Unification of Two Competing Models for Document Retrieval", <u>Information Technology: Research and Development</u>, Volume 1, January 1982.

CITED BY  4
N. Fuhr , C. Buckley, Probabilistic document indexing from relevance feedback data, Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval, p.45-61, September 05-07, 1990, Brussels, Belgium
Norbert Fuhr, Two models of retrieval with probabilistic indexing, Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval, p.249-257, September 1986, Palazzo dei Congressi, Pisa, Italy
Norbert Fuhr , Chris Buckley, A probabilistic learning approach for document indexing, ACM Transactions on Information Systems (TOIS), v.9 n.3, p.223-248, July 1991
Howard D. White, Combining bibliometrics, information retrieval, and relevance theory, Part 2: Some implications for information science: Research Articles, Journal of the American Society for Information Science and Technology, v.58 n.4, p.583-605, February 2007
Collaborative Colleagues:
M. E. Maron: colleagues

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