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Probabilistic score normalization for rank aggregation

Fernandez, Miriam; Vallet, David and Castells, Pablo (2006). Probabilistic score normalization for rank aggregation. In: 28th European Conference on Information Retrieval (ECIR 2006), 10 - 12 Apr 2006, London, UK, pp. 553–556.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1007/11735106_63
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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
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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