Performance prediction of data fusion for information retrieval

Information Processing and Management

Volumn 42, Issue 4, 2006, Pages 899-915

  Wu, Shengli ^a   McClean, Sally ^a  

^a UNIVERSITY OF ULSTER   (United Kingdom)

Author keywords

Data fusion; Multiple linear regression; Performance prediction

Indexed keywords

DATA REDUCTION; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; REGRESSION ANALYSIS;

DATA FUSION; MULTIPLE LINEAR REGRESSION; PERFORMANCE PREDICTION;

SENSOR DATA FUSION;

EID: 29244440406     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2005.08.004     Document Type: Article

References (23)

1. Amitay, E., Carmel, D., Lempel, R., & Soffer, A. (2004). Scaling IR-system evaluation using term relevance sets. In Proceedings of the 27th annual ACM SIGIR conference, Sheffield UK, pp. 10-17.
2. Aslam, J., & Montague, M., 2001. Models for metasearch. In Proceedings of the 24th annual ACM SIGIR conference, New Orleans, USA, pp. 275-284.
3. Bartell, B. T., Cottrell, G. W., & Belew, R. K. (1994). Automatic combination of multiple ranked retrieval systems. In Proceedings of the 17th annual ACM SIGIR Conference, Dublin, Ireland, pp. 173-181.
4. S. Beitzel, E. Jensen, A. Chowdhury, D. Grossman, O. Frieder, and N. Goharian On fusion of effective retrieval strategies in the same information retrieval system Journal of the American Society for Information Science and Technology 55 10 2004 859 868
5. Belkin, N. J., Cool, C., Croft, W. B., & Callan, J. P. (1993). The effect of multiple query representations on information retrieval performance. In Proceedings of 16th annual ACM SIGIR conference, Pittsburgh PA, USA, pp. 339-346.
6. N.J. Belkin, P. Kantor, E.A. Fox, and J.A. Shaw Combining evidence of multiple query representations for information retrieval Information Processing & Management 31 3 1995 431 448
7. P.W. Foltz, and S.T. Dumais Personalized information delivery: An analysis of information-filtering methods Communications of the ACM 35 12 1992 51 60
8. Fox, E. A., & Shaw, J. A. (1994). Combining of multiple searches. In Proceedings of the 2nd annual text retrieval conference (TREC-2), NIST, Gaithersburg, USA.
9. Lee, J. H. (1997). Analyses of multiple evidence combination. In Proceedings of the 20th annual ACM SIGIR conference, Philadelphia, USA, p. 276.
10. Montague, M., & Aslam, J. (2001). Relevance score normalization for metasearch. In Proceedings of the 10th ACM CIKM conference, Berkeley, USA, pp. 427-433.
11. Montague, M., & Aslam, J. (2002). Condorcet fusion for improved retrieval. In Proceedings of the 11th ACM CIKM conference, McLean USA, pp. 538-548.
12. K.B. Ng, and P.B. Kantor Predicting the effectiveness of naive data fusion on the basis of system characteristics Journal of the American Society for Information Science 50 13 2000 1177 1189
13. Renda, M. E., & Straccia, U. (2003). Web metasearch: Rank vs. score based rank aggregation methods. In Proceedings of ACM 2003 symposium of applied computing, Melbourne, USA, pp. 847-452.
14. T. Saracevic, and P. Kantor A study of information seeking and retrieving. III: Searchers, searches, overlap Journal of the American Society of Information Science 39 3 1998 197 216
15. Soboroff, I., Nicholas, C., & Cahan, P. (2001). Ranking retrieval systems without relevance judgements. In Proceedings of the 24th annual ACM SIGIR conference, New Orleans, LA, USA, pp. 66-73.
16. P. Thompson A combination of expert opinion approach to probabilistic information retrieval. Part 1: The conceptual model Information Processing and Management 26 3 1990 371 382
17. P. Thompson A combination of expert opinion approach to probabilistic information retrieval. Part 2: Mathematical treatment of CEO model Information Processing and Management 26 3 1990 383 394
18. H. Turtle, and W.B. Croft Evaluation of an inference network-based retrieval model ACM Transactions on Information Systems 9 3 1991 187 222
19. Vogt, C. C., & Cottrell, G. W. (1998). Predicting the performance of linearly combined IR systems. In Proceedings of the 21st annual ACM SIGIR conference, Melbourne, Australia, pp. 190-196.
20. C.C. Vogt, and G.W. Cottrell Fusion via a linear combination of scores Information Retrieval 1 3 1999 151 173
21. Wu, S., & Crestani, F. (2002). Data fusion with estimated weights. In Proceedings of the 11th ACM CIKM conference, McLean, USA, pp. 648-651.
22. Wu, S., & Crestani, F. (2003). Methods for ranking information retrieval systems without relevance judgments. In Proceedings of the 2003 ACM symposium on applied computing, Melbourne Florida, USA, pp. 811-816.
23. Wu, S., & McClean, S. (submitted for publication). Reexamining score normalization methods in data fusion.