The Curious Incidence of Bias Corrections in the Pool

A. Lipani, M. Lupu, A. Hanbury:
"The Curious Incidence of Bias Corrections in the Pool";
Vortrag: European Conference on Information Retrieval (ECIR), Padua, Italy; 28.03.2010 - 31.03.2010; in:"Advances in Information Retrieval", Springer, 5993 (2016), ISBN: 978-3-642-12274-3; S. 267 - 279.

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Recently, it has been discovered that it is possible to mitigate the Pool Bias of Precision at cut-off (P@n) when used with the fixed-depth pooling strategy, by measuring the effect of the tested run against the pooled runs. In this paper we extend this analysis and test the existing methods on different pooling strategies, simulated on a selection of 12 TREC test collections. We observe how the different methodologies to correct the pool bias behave, and provide guidelines about which pooling strategy should be chosen.