Tuning before feedback: Combining ranking discovery and blind feedback for robust retrieval

Proceedings of Sheffield SIGIR - Twenty-Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2004, Pages 138-145

  Fan, Weiguo ^a   Luo, Ming ^a   Wang, Li ^b   Xi, Wensi ^a   Fox, Edward A ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Blind feedback; Genetic Programming; Information Retrieval; Intelligent Information Retrieval; Query Expansion; Ranking Function; Search Engine

Indexed keywords

BLIND FEEDBACK; INTELLIGENT INFORMATION RETRIEVAL; QUERY EXPANSION; RANKING FUNCTIONS;

ALGORITHMS; DATA PROCESSING; EXTRAPOLATION; INFORMATION TECHNOLOGY; MATHEMATICAL MODELS; OPTIMIZATION; STATISTICAL METHODS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 8744280044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Banzhaf, W., Nordin, P., Keller, R. E., and Francone, F. D., Genetic Programming: An Introduction - on The Automatic Evolution of Computer Programs and Its Applications. San Francisco, CA, Morgan Kaufmann Publishers, 2000.
2. Bartell, B. T., Cottrell, G. W., and Belew, R. K., Automatic combination of multiple ranked retrieval systems, in the Proceedings of Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 173-181, 1994.
3. Carpineto, C., Mori, R. D., Romano, G., and Bigi, B., An information-theoretic approach to automatic query Expansion, ACM Trans. on Information Systems, 19(1), 1-27, 2001.
4. Carpineto, C., Romano, G., Improving retrieval feedback with multiple term-ranking function combination, ACM Trans. on Information Systems, 20(3), 259-290, 2002.
5. Chung, Y. M. and Lee, J. Y., Optimization of some factors affecting the performance of query expansion, Information Processing and Management, in press, 2004.
6. Fan, W., Gordon, M. D. and Pathak, P., Effective profiling of consumer information retrieval needs: a unified framework and empirical comparison, Decision Support Systems, in press, 2004.
7. Fan, W., Gordon, M. D., Pathak, P., Xi, W. and Fox, E. A., Ranking function optimization for effective web search by Genetic Programming: an empirical study, in the Proceedings of 37th Hawaii International Conference on System Sciences (HICSS), 2004.
8. Fan, W., Fox, E. A., Pathak, P. and Wu, H., The effects of fitness functions on genetic programming-based ranking discovery for web search, Journal of the American Society for Information Science and Technology, 55(7), 628-636, 2004.
9. Fan, W., Gordon, M. D., Pathak, P., A generic ranking function discovery framework by genetic programming for information retrieval, Information Processing and Management, in press, 2004.
10. Fan, W., Gordon, M. D., and Pathak, P., Discovery of context-specific ranking functions for effective information retrieval by Genetic Programming, IEEE Transactions on Knowledge and Data Engineering, 16(4), 523-527, 2004.
11. Fuhr, N., and Buckley, C., A probabilistic learning approach for document indexing, ACM Transactions on Information Systems, 9(3), 223-248, 1991.
12. Fuhr, N., and Pfeifer, U., Probabilistic information retrieval as combination of abstraction, inductive learning and probabilistic assumptions, ACM Transactions on Information Systems, 12(1), 92-115, 1994.
13. Gey, F. C., Inferring probability of relevance using the method of logistic regression, in the Proceedings of Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 222-231, 1994.
14. Gordon, M. D., Probabilistic and genetic algorithms for document retrieval. Communications of ACM, 31(2), 152-169, 1988.
15. Harman, D., Relevance Feedback Revisited, in the Proc. of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Ed. Nicholas Belkin, Peter Ingwersen and Annelise Mark Pejtersen, SIGIR Forum, June 21-24, 1992.
16. Holland, J. H., Adaptation in Natural and Artificial Systems, the University of Michigan Press, Ann Arbor, 1975.
17. Ide, E., New experiments in relevance feedback, in Gerard Salton, Editor, The SMART Retrieval System, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1971.
18. Khan M. S., Khor S., Enhanced web document retrieval using automatic query expansion, Journal of the American Society for Information Science and Technology, 55(1), 29-40, Jan 2004.
19. Koza, J. R., Genetic Programming: On the Programming of Computers by Means of Natural Selection, Cambridge, MA, USA: MIT Press, 1992.
20. Langdon, W. and Poli, R., Foundations of Genetic Programming. Springer-Velag, 2002.
21. Lee, J. H., Analyses of multiple evidence combination, in the Proceedings of Twentieth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 267-276, 1997.
22. Lundquist, C., Grossman, D. and Fireder, O., Improving relevance feedback in the vector space model, in the Proceedings of the CIKM conference (CIKM97), (LasVegas Nevada, USA, 97), ACM Press, New York, NY, 16-23, 1997.
23. Pathak, P., Gordon, M. D., and W. Fan, Effective information retrieval using genetic algorithms based matching function adaptation, in Proceedings of the 33rd Hawaii International Conference on System Science (HICSS), Hawaii, USA, 2000.
24. Robertson, S. E., On term selection for query expansion. Journal of Documentation. 46(4), 359-364, 1990.
25. Robertson, S. E., Walker, S., Jones S., Hancock-Beaulieu M. M., and Gatford, M., Okapi at TREC-4, in D. K. Harman, editor, Proceedings of the Fourth Text Retrieval Conference, 73-97. NIST Special Publication 500-236, 1996.
26. Rocchio, Jr., J.J., Relevance feedback in information retrieval, in Gerard Salton, Editor, The SMART Retrieval System, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1971.
27. Salton, G. and Buckley, C., Term weighting approaches in automatic text retrieval, Information Processing and Management, 24(5), 513-523, 1988.
28. Salton, G. and Buckley, C., Improving retrieval performance by relevance feedback. Journal of the American Society for Information Science, 41(4), 288-297, 1990.
29. Vogt, C. C., and Cottrell, G. W., Fusion via a linear combination of scores, Information Retrieval, 1(3), 151-173, 1999.
30. Zobel, J. and Moffat, A., Exploring the similarity space, SIGIR Forum, 32(1): 18-34, 1998.