The linear combination data fusion method in information retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6861 LNCS, Issue PART 2, 2011, Pages 219-233

  Wu, Shengli ^a,b   Bi, Yaxin ^b   Zeng, Xiaoqin ^c  

^a JIANGSU UNIVERSITY   (China)

^b UNIVERSITY OF ULSTER   (United Kingdom)

^c HOHAI UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPONENT RETRIEVAL; COMPONENT SYSTEMS; DATA FUSION METHODS; FOUR-GROUP; LEAST SQUARE; LINEAR COMBINATIONS; MULTIPLE LINEAR REGRESSIONS; OPEN PROBLEMS; PERFORMANCE LEVEL; SCHEMAS;

DATA FUSION; EXPERIMENTS; EXPERT SYSTEMS; LINEAR REGRESSION;

INFORMATION RETRIEVAL;

EID: 80052791414     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23091-2_20     Document Type: Conference Paper

References (28)

1. Aslam, J. A., Montague, M.: Models for metasearch. In: Proceedings of the 24th Annual International ACM SIGIR Conference, New Orleans, Louisiana, USA, pp. 276-284 (September 2001)
2. Bartell, B. T., Cottrell, G. W., Belew, R. K.: Automatic combination of multiple ranked retrieval systems. In: Proceedings of ACM SIGIR 1994, Dublin, Ireland, pp. 173-184 (July 1994)
3. Calvé, A. L., Savoy, J.: Database merging strategy based on logistic regression. Information Processing & Management 36(3), 341-359 (2000)
4. Dwork, C., Kumar, R., Naor, M., Sivakumar, D.: Rank aggregation methods for the web. In: Proceedings of the Tenth International World Wide Web Conference, Hong Kong, China, pp. 613-622 (May 2001)
5. Efron, M.: Generative model-based metasearch for data fusion in information retrieval. In: Proceedings of the 2009 Joint International Conference on Digital Libraries, Austin, USA, pp. 153-162 (June 2009)
6. Farah, M., Vanderpooten, D.: An outranking approach for rank aggregation in information retrieval. In: Proceedings of the 30th ACM SIGIR Conference, Amsterdam, The Netherlands, pp. 591-598 (July 2007)
7. Fox, E. A., Koushik, M. P., Shaw, J., Modlin, R., Rao, D.: Combining evidence from multiple searches. In: The First Text REtrieval Conference (TREC-1), Gaitherburg, MD, USA, pp. 319-328 (March 1993)
8. Fox, E. A., Shaw, J.: Combination of multiple searches. In: The Second Text RE-trieval Conference (TREC-2), Gaitherburg, MD, USA, pp. 243-252 (August 1994)
9. Juárez-González, A., Montesy Gómez, M., Pineda, L., Avendaño, D., Pérez-Coutiño, M.: Selecting the n-top retrieval result lists for an effective data fusion. In: Proceedings of 11th International Conference on Computational Linguistics and Intelligent Text Processing, Iasi, Romania, pp. 580-589 (March 2010)
10. Lee, J. H.: Analysis of multiple evidence combination. In: Proceedings of the 20th Annual International ACM SIGIR Conference, Philadelphia, Pennsylvania, USA, pp. 267-275 (July 1997)
11. Lillis, D., Zhang, L., Toolan, F., Collier, R., Leonard, D., Dunnion, J.: Estimating probabilities for effective data fusion. In: Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Geneva, Switzerland, pp. 347-354 (July 2010)
12. Manmatha, R., Rath, T., Feng, F.: Modelling score distributions for combining the outputs of search engines. In: Proceedings of the 24th Annual International ACM SIGIR Conference, New Orleans, USA, pp. 267-275 (September 2001)
13. Montague, M., Aslam, J. A.: Relevance score normalization for metasearch. In: Proceedings of ACM CIKM Conference, Berkeley, USA, pp. 427-433 (November 2001)
14. Montague, M., Aslam, J. A.: Condorcet fusion for improved retrieval. In: Proceedings of ACM CIKM Conference, USA, pp. 538-548 (November 2002)
15. Nottelmann, H., Fuhr, N.: From retrieval status values to probabilities of relevance for advanced ir applications. Information Retrieval 6(3-4), 363-388 (2003)
16. Renda, M. E., Straccia, U.: Web metasearch: rank vs. score based rank aggregation methods. In: Proceedings of ACM 2003 Symposium of Applied Computing, Melbourne, USA, pp. 847-452 (April 2003)
17. Shokouhi, M.: Segmentation of search engine results for effective data-fusion. In: Amati, G., Carpineto, C., Romano, G. (eds.) ECiR 2007. LNCS, vol. 4425, pp. 185-197. Springer, Heidelberg (2007)
18. Thompson, P.: Description of the PRC CEO algorithms for TREC. In: The First Text REtrieval Conference (TREC-1), Gaitherburg, MD, USA, pp. 337-342 (March 1993)
19. Vogt, C. C., Cottrell, G. W.: Predicting the performance of linearly combined IR systems. In: Proceedings of the 21st Annual ACM SIGIR Conference, Melbourne, Australia, pp. 190-196 (August 1998)
20. Vogt, C. C., Cottrell, G. W.: Fusion via a linear combination of scores. Information Retrieval 1(3), 151-173 (1999)
21. Wu, S.: Applying statistical principles to data fusion in information retrieval. Expert Systems with Applications 36(2), 2997-3006 (2009)
22. Wu, S., Bi, Y., McClean, S.: Regression relevance models for data fusion. In: Proceedings of the 18th International Workshop on Database and Expert Systems Applications, Regensburg, Germany, pp. 264-268 (September 2007)
23. Wu, S., Bi, Y., Zeng, X., Han, L.: Assigning appropriate weights for the linear combination data fusion method in information retrieval. Information Processing & Management 45(4), 413-426 (2009)
24. Wu, S., Crestani, F.: Data fusion with estimated weights. In: Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, McLean, VA, USA, pp. 648-651 (November 2002)
25. Wu, S., Crestani, F., Bi, Y.: Evaluating score normalization methods in data fusion. In: Ng, H. T., Leong, M.-K., Kan, M.-Y., Ji, D. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 642-648. Springer, Heidelberg (2006)
26. Wu, S., McClean, S.: Data fusion with correlation weights. In: Proceedings of the 27th European Conference on Information Retrieval, pp. 275-286. Santiago de Composite, Spain (2005)
27. Wu, S., McClean, S.: Improving high accuracy retrieval by eliminating the uneven correlation effect in data fusion. Journal of American Society for Information Science and Technology 57(14), 1962-1973 (2006)
28. Zhou, D., Lawless, S., Min, J., Wade, V.: A late fusion approach to cross-lingual document re-ranking. In: Proceedings of the 19th ACM Conference on Information and Knowledge Management, Toronto, Canada, pp. 1433-1436 (October 2010)