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SIGIR
2006
ACM

Using historical data to enhance rank aggregation

9 years 8 months ago
Using historical data to enhance rank aggregation
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. Keywords Rank aggregation, score normalization, score distribution.
Miriam Fernández, David Vallet, Pablo Caste
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SIGIR
Authors Miriam Fernández, David Vallet, Pablo Castells
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