"Is this document relevant? . . . probably": A survey of probabilistic models in information retrieval

ACM Computing Surveys

Volumn 30, Issue 4, 1998, Pages 548-552

  Crestani, Fabio ^a   Lalmas, Mounia ^a   Van Rijsbergen, Cornelis J ^a   Campbell, Iain ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Information retrieval; Probabilistic indexing; Probabilistic modeling; Probabilistic retrieval; Uncertain inference modeling

Indexed keywords

ALGORITHMS; INDEXING (OF INFORMATION); PROBABILISTIC LOGICS;

UNCERTAIN INFERENCE MODELING;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0032270571     PISSN: 03600300     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. AMATI, G. AND KERPEDJIEV, S. 1992. An information retrieval logical model: Implementation and experiments. Tech. Rep. Rel 5B04892 (March), Fondazione Ugo Bordoni, Roma, Italy.
2. AMATI, G. AND VAN RUSBERGEN, C. J. 1995. Probability, information and information retrieval. In Proceedings of the First International Workshop on Information Retrieval, Uncertainty and Logic (Glasgow, Sept.).
3. BIEBRICHER, P., FUHR, N., KNORZ, G., LUSTIG, G., AND SCHWANTNER, M. 1988. The automatic indexing system ALX/PHYS - from research to application. In Proceedings of ACM SIGIR (Grenoble, France), 333-342.
4. BOOKSTEIN, A. AND COOPER, W. S. 1976. A general mathematical model for information retrieval systems. Libr. Quart. 46, 2.
5. BOOKSTEIN, A. AND SWANSON, D. 1974. Probabilistic models for automatic indexing. J. Am. Soc. Inf. Sci. 25, 5, 312-318.
6. BORGOGNA, G. AND PASI, G. 1993. A fuzzy linguistic approach generalizing Boolean information retrieval: A model and its evaluation. J. Am. Soc. Inf. Sci. 2, 70-82, 44.
7. BRUZA, P. D. 1993. Stratified information disclosure: A synthesis between hypermedia and information retrieval. Ph.D. Thesis, Katholieke Universiteit Nijmegen, The Netherlands.
8. BRUZA, P. D. AND VAN DER WEIDE, T. P. 1992. Stratified hypermedia structures for information disclosure. Comput. J. 35, 3, 208-220.
9. CAMPBELL, I. AND VAN RUSBERGEN, C. J. 1996. The ostensive model of developing information needs. In Proceedings of CoLIS 2 (Copenhagen, Oct.), 251-268.
10. CHIARAMELLA, Y. AND CHEVALLET, J. P. 1992. About retrieval models and logic. Comput. J. 35, 3, 233-242.
11. COOPER, W. S. 1971. A definition of relevance for information retrieval. Inf. Storage Retrieval 7, 19-37.
12. COOPER, W. S. 1995. Some inconsistencies and misnomers in probabilistic information retrieval. ACM Trans. Inf. Syst. 13, 1, 100-111.
13. COOPER, W. S., GEY, F. C., AND DABNEY, D. P. 1992. Probabilistic retrieval based on staged logistic regression. In Proceedings of ACM SIGIR (Copenhagen, June), 198-210.
14. Cox, D. R. 1970. Analysis of Binary Data. Methuen, London.
15. CRESTANI, F. AND VAN RUSBERGEN, C. J. 1995a. Information retrieval by logical imaging. J. Doc. 51, 1, 1-15.
16. CRESTANI, F. AND VAN RUSBERGEN, C. J. 1995b. Probability kinematics in information retrieval. In Proceedings of ACM SIGIR (Seattle, WA, July), 291-299.
17. CROFT, W. B. 1987. Approaches to intelligent information retrieval. Inf. Process. Manage. 23, 4, 249-254.
18. CROFT, W. B. AND HARPER, D. J. 1979. Using probabilistic models of document retrieval without relevance information. J. Doc. 35, 285-295.
19. 3R: A new approach to the design of document retrieval systems. J. Am. Soc. Inf. Sci. 38, 6, 389-404.
20. CROFT, W. B., LUCIA, T. J. AND COHEN, P. R. 1988. Retrieving documents by plausible inference: A preliminary study. In Proceedings of ACM SIGIR (Grenoble, France, June).
21. CROFT, W. B., LUCIA, T. J., CRIGEAN, J., AND WILLET, P. 1989. Retrieving documents by plausible inference: An experimental study. Inf. Process. Manage. 25, 6, 599-614.
22. CROFT, W. B., SMITH, L. A., AND TURTLE, H. R. 1992. A loosely coupled integration of a text retrieval system and an object-oriented database system. In Proceedings of ACM SIGIR (Copenhagen, June), 223-232.
23. DE SILVA, W. T. AND MILIDIU, R. L. 1993. Belief function model for information retrieval. J. Am. Soc. Inf. Sci. 4, 1, 10-18.
24. DEMPSTER, A. P. 1968. A generalization of the Bayesian inference. J. Royal Stat. Soc. 30, 205-447.
25. DUNLOP, M. D. 1991. Multimedia information retrieval. Ph.D. Thesis, Department of Computing Science, University of Glasgow, Glasgow.
26. FUHR, N. 1989. Models for retrieval with probabilistic indexing. Inf. Process. Manage. 25, 1, 55-72.
27. FUHR, N. 1990. A probabilistic framework for vague queries and imprecise information in databases. In Proceedings of the International Conference on Very Large Databases (Los Altos, CA), Morgan-Kaufmann, San Mateo, CA, 696-707.
28. FUHR, N. 1992a. Integration of probabilistic fact and text retrieval. In Proceedings of ACM SIGIR (Copenhagen, June), 211-222.
29. FUHR, N. 1992b. Probabilistic models in information retrieval. Comput. J. 35, 3, 243-254.
30. FUHR, N. 1993. A probabilistic relational model for the integration of IR and databases. In Proceedings of ACM SIGIR (Pittsburgh, PA, June), 309-317.
31. FUHR, N. AND BUCKLEY, C. 1991. A probabilistic learning approach for document indexing. ACM Trans. Inf. Syst. 9, 3, 223-248.
32. FUHR, N. AND BUCKLEY, C. 1993. Optimizing document indexing and search term weighting based on probabilistic models. In The First Text Retrieval Conference (TREC-1), D. Hannan, Ed., Special Publication 500-207. National Institute of Standards and Technology, Gaithersburg, MD, 89-100.
33. FUHR, N. AND KNOWRZ, G. 1984. Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS). In Research and Development in Information Retrieval, C. J. van Rijsbergen, Ed., Cambridge University Press, Cambridge, UK, 391-408.
34. FUHR, N. AND PFEIFER, U. 1991. Combining model-oriented and description-oriented approaches for probabilistic indexing. In Proceedings of ACM SIGIR (Chicago, Oct.), 46-56.
35. FUNG, R. M., CRAWFORD, S. L., APPELBAUM, L. A., AND TONG, R. M. 1990. An architecture for probabilistic concept based information retrieval. In Proceedings of ACM SIGIR (Bruxelles, Belgium, Sept.), 455-467.
36. GOOD, I. J. 1950. Probability and the Weighing of Evidence. Charles Griffin Symand.
37. HARMAN, D. 1992a. Relevance feedback and other query modification techniques. In Information Retrieval: Data Structures and Algorithms, W. B. Frakes and R. Baeza-Yates, Eds., Prentice Hall, Englewood Cliffs, NJ, Chapter 11.