Document (#27503)

Author

Beitzel, S.M.
Jensen, E.C.
Chowdhury, A.
Grossman, D.
Frieder, O
Goharian, N.

Title

Fusion of effective retrieval strategies in the same information retrieval system

Source

Journal of the American Society for Information Science and Technology. 55(2004) no.10, S.859-868

Year

2004

Abstract

Prior efforts have shown that under certain situations retrieval effectiveness may be improved via the use of data fusion techniques. Although these improvements have been observed from the fusion of result sets from several distinct information retrieval systems, it has often been thought that fusing different document retrieval strategies in a single information retrieval system will lead to similar improvements. In this study, we show that this is not the case. We hold constant systemic differences such as parsing, stemming, phrase processing, and relevance feedback, and fuse result sets generated from highly effective retrieval strategies in the same information retrieval system. From this, we show that data fusion of highly effective retrieval strategies alone shows little or no improvement in retrieval effectiveness. Furthermore, we present a detailed analysis of the performance of modern data fusion approaches, and demonstrate the reasons why they do not perform weIl when applied to this problem. Detailed results and analyses are included to support our conclusions.

Theme

Retrievalalgorithmen
Computerlinguistik

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4. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.33

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5. Wu, M.; Hawking, D.; Turpin, A.; Scholer, F.: Using anchor text for homepage and topic distillation search tasks (2012) 0.30

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