Probabilistic Score Normalization for Rank Aggregation [chapter]

Miriam Fernández, David Vallet, Pablo Castells
2006 Lecture Notes in Computer Science  
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
more » ... om several TREC collections are shown to support our proposal.
doi:10.1007/11735106_63 fatcat:u2yngwwrzng4vnbsnxggq6u5de