Extending probabilistic data fusion using sliding windows

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

Volumn 4956 LNCS, Issue , 2008, Pages 358-369

  Lillis, David ^a   Toolan, Fergus ^b   Collier, Rem ^a   Dunnion, John ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b Griffith College Dublin   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE TECHNIQUE; SLIDING WINDOWS;

INFORMATION RETRIEVAL; PARAMETER ESTIMATION; QUERY PROCESSING;

DATA FUSION;

EID: 41849115956     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78646-7_33     Document Type: Conference Paper

References (21)

1. Bartell, B.T., Cottrell, G.W., Belew, R.K.: Automatic combination of multiple ranked retrieval systems. In: SIGIR 1994: Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 173-181. Springer, New York (1994) Reference to show that it has long been demonstrated that fusion improves results
2. Beitzel, S.M., Jensen, E.C., Chowdhury, A., Grossman, D., Frieder, O., Goharian, N.: Fusion of effective retrieval strategies in the same information retrieval system. J. Am. Soc. Inf. Sci. Technol. 55(10), 859-868 (2004)
3. Vogt, C.C., Cottrell, G.W.: Fusion via a linear combination of scores. Information Retrieval 1(3), 151-173 (1999)
4. Aslam, J.A., Montague, M.: Bayes optimal metasearch: a probabilistic model for combining the results of multiple retrieval systems. In: SIGIR 2000: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pp. 379-381. ACM Press, New York (2000)
5. Voorhees, E.M., Gupta, N.K., Johnson-Laird, B.: The collection fusion problem. In: Proceedings of the Third Text REtrieval Conference (TREC-3), pp. 95-104 (1994)
6. Lillis, D., Toolan, F., Collier, R., Dunnion, J.: ProbFuse: a probabilistic approach to data fusion. In: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 139-146. ACM Press, New York (2006)
7. Shokouhi, M.: Segmentation of search engine results for effective data-fusion. In: Amati, G., Carpineto, C., Romano, G. (eds.) ECiR 2007. LNCS, vol. 4425, Springer, Heidelberg (2007)
8. Fox, E.A., Shaw, J.A.: Combination of multiple searches. In: Proceedings of the 2nd Text REtrieval Conference (TREC-2), National Institute of Standards and Technology Special Publication 500-215, pp. 243-252 (1994)
9. Callan, J.P., Lu, Z., Croft, W.B.: Searching distributed collections with inference networks. In: SIGIR 1995: Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 21-28. ACM Press, New York (1995)
10. Si, L., Callan, J.: Using sampled data and regression to merge search engine results. In: SIGIR 2002: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 19-26. ACM Press, New York (2002)
11. Montague, M., Aslam, J.A.: Condorcet fusion for improved retrieval. In: CIKM 2002: Proceedings of the eleventh international conference on Information and knowledge management, pp. 538-548. ACM Press, New York (2002)
12. Lee, J.H.: Analyses of multiple evidence combination. SIGIR Forum 31(SI), 267-276 (1997)
13. Voorhees, E.M., Gupta, N.K., Johnson-Laird, B.: Learning collection fusion strategies. In: SIGIR 1995: Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 172-179. ACM Press, New York (1995)
14. Aslam, J.A., Montague, M.: Models for metasearch. In: SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 276-284. ACM Press, New York (2001)
15. Craswell, N., Hawking, D., Thistlewaite, P.B.: Merging results from isolated search engines. In: Australasian Database Conference, Auckland, New Zealand, pp. 189-200 (1999)
16. Lawrence, S., Giles, C.L.: Inquirus, the NECI meta search engine. In: Seventh International World Wide Web Conference, Brisbane, Australia, pp. 95-105. Elsevier, Amsterdam (1998)
17. Gravano, L., Chang, K., Garcia-Molina, H., Paepcke, A.: Starts: Stanford protocol proposal for internet retrieval and search. Technical report, Stanford, CA, USA (1997)
18. Lillis, D., Toolan, F., Collier, R., Dunnion, J.: Probabilistic data fusion on a large document collection. In: Proceedings of the 17th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2006), Belfast, Northern Ireland, Queen's University Belfast (2006)
19. Craswell, N., Hawking, D.: Overview of the TREC-2004 web track. In: Proceedings of the Thirteenth Text REtrieval Conference (TREC-2004) (2004)
20. Buckley, C., Voorhees, E.M.: Retrieval evaluation with incomplete information. In: SIGIR 2004: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 25-32. ACM Press, New York (2004)
21. Silverstein, C., Henzinger, M., Marais, H., Moricz, M.: Analysis of a Very Large AltaVista Query Log. Technical Report 1998-014, Digital SRC (1998), http://gatekeeper.dec.com/pub/DEC/SRC/technical-notes/abstracts/src-tn-1998-014. html