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ECIR
2006
Springer

Probabilistic Score Normalization for Rank Aggregation

14 years 28 days ago
Probabilistic Score Normalization for Rank Aggregation
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.
Miriam Fernández, David Vallet, Pablo Caste
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where ECIR
Authors Miriam Fernández, David Vallet, Pablo Castells
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