Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval

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Some inconsistencies and misidentified modeling assumptions in probabilistic information retrieval

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ACM Transactions on Information Systems (TOIS) archive
Volume 13 , Issue 1 (January 1995) table of contents

Pages: 100 - 111

Year of Publication: 1995

ISSN:1046-8188

Author

William S. Cooper

Univ. of California, Berkeley

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 4, Downloads (12 Months): 49, Citation Count: 16

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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 16

	Norbert Fuhr, Models in information retrieval, Lectures on information retrieval, Springer-Verlag New York, Inc., New York, NY, 2001
	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
	Fabio Crestani , Mounia Lalmas, Logic and uncertainty in information retrieval, Lectures on information retrieval, Springer-Verlag New York, Inc., New York, NY, 2001
	Fabrizio Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys (CSUR), v.34 n.1, p.1-47, March 2002
	William S. Cooper, The formalism of probability theory in IR: a foundation or an encumbrance?, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, p.242-247, July 03-06, 1994, Dublin, Ireland
	Rudy Prabowo , Mike Thelwall, A comparison of feature selection methods for an evolving RSS feed corpus, Information Processing and Management: an International Journal, v.42 n.6, p.1491-1512, December 2006
	Fabio Crestani , Mounia Lalmas, Logical and uncertainty models for information access: current trends, The Knowledge Engineering Review, v.15 n.2, p.171-179, June 2000
	H. C. Wu , R. W. P. Luk , K. F. Wong , K. L. Kwok, Probabilistic document-context based relevance feedback with limited relevance judgments, Proceedings of the 15th ACM international conference on Information and knowledge management, November 06-11, 2006, Arlington, Virginia, USA
	H. C. Wu , Robert W. P. Luk , K. F. Wong , K. L. Kwok, A retrospective study of a hybrid document-context based retrieval model, Information Processing and Management: an International Journal, v.43 n.5, p.1308-1331, September, 2007
	Elke Mittendorf , Bojidar Mateev , Peter Schäuble, Using the Co-occurrence of Words for Retrieval Weighting, Information Retrieval, v.3 n.3, p.243-251, October 2000
	Quan Wang , Yiu-Kai Ng, An Ontology-Based Binary-Categorization Approach for Recognizing Multiple-Record Web Documents Using a Probabilistic Retrieval Model, Information Retrieval, v.6 n.3-4, p.295-332, September-December 2003
	Xiaojin Shi , Roberto Manduchi, On the Bayes fusion of visual features, Image and Vision Computing, v.25 n.11, p.1748-1758, November, 2007
	Robert W. Luk, On event space and rank equivalence between probabilistic retrieval models, Information Retrieval, v.11 n.6, p.539-561, December 2008
	Jun Wang , Stephen Robertson , Arjen P. Vries , Marcel J. Reinders, Probabilistic relevance ranking for collaborative filtering, Information Retrieval, v.11 n.6, p.477-497, December 2008
	Guillermo Oyarce, Using the shape recovery method to evaluate indexing techniques, Journal of the American Society for Information Science and Technology, v.59 n.9, p.1479-1492, July 2008
	Jinglei Zhao , Yeogirl Yun, A proximity language model for information retrieval, Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, July 19-23, 2009, Boston, MA, USA