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Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models
2019
Italian Information Retrieval Workshop
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Information retrieval effectiveness evaluation is often carried out by means of test collections. Many works investigated possible sources of bias in such an approach. We propose a systematic approach to identify bias and its causes, and to remove it, thus enforcing fairness in effectiveness evaluation by means of test collections.
dblp:conf/iir/RoiteroMS19
fatcat:2qhxzlgwyfd2fd66syqelrm4qu