Fernandez, Miriam; Vallet, David and Castells, Pablo
(2006).
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| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/11735106_63 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
Rank aggregation is a pervading operation in IR technology. We hypothesize that the performance of score-based aggregation may be affected by artificial, usually meaningless deviations consistently occurring in the input score distributions, which distort the combined result when the individual biases differ from each other. We propose a score-based rank aggregation model where the source scores are normalized to a common distribution before being combined. Early experiments on available data from several TREC collections are shown to support our proposal.
| Item Type: | Conference Item |
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| Copyright Holders: | 2006 Springer-Verlag |
| ISSN: | 0302-9743 |
| Extra Information: | Advances in Information Retrieval
28th European Conference on IR Research, ECIR 2006 London, UK, April 10-12, 2006 Proceedings Mounia Lalmas, Andy MacFarlane, Stefan Rüger, Anastasios Tombros, Theodora Tsikrika, Alexei Yavlinsky (Eds.) ISBN-13 978-3-540-33347-0 |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 28593 |
| Depositing User: | Kay Dave |
| Date Deposited: | 10 May 2011 08:45 |
| Last Modified: | 11 May 2011 09:34 |
| URI: | http://oro.open.ac.uk/id/eprint/28593 |
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