The Curious Incidence of Bias Corrections in the Pool

Authors: 
Aldo Lipani
Mihai Lupu
Allan Hanbury
Type: 
Speech with proceedings
Proceedings: 
Advances in Information Retrieval
Publisher: 
Springer
Pages: 
267 - 279
ISBN: 
ISBN: 978-3-642-12274-3
Year: 
2016
Abstract: 
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.
TU Focus: 
Information and Communication Technology
Reference: 

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.

Zusätzliche Informationen

Last changed: 
09.12.2016 20:11:26
TU Id: 
253799
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
A. Lipani, M. Lupu, A. Hanbury