@InProceedings{10.1007/978-3-030-78818-6_6,
author="Beretta, Elena
and Vetr{\`o}, Antonio
and Lepri, Bruno
and De Martin, Juan Carlos",
editor="Boratto, Ludovico
and Faralli, Stefano
and Marras, Mirko
and Stilo, Giovanni",
title="Equality of Opportunity in Ranking: A Fair-Distributive Model",
booktitle="Advances in Bias and Fairness in Information Retrieval",
year="2021",
publisher="Springer International Publishing",
address="Cham",
pages="51--63",
abstract="In this work, we define a Fair-Distributive ranking system based on Equality of Opportunity theory and fair division models. The aim is to determine the ranking order of a set of candidates maximizing utility bound to a fairness constraint. Our model extends the notion of protected attributes to a pool of individual's circumstances, which determine the membership to a specific type. The contribution of this paper are i) a Fair-Distributive Ranking System based on criteria derived from distributive justice theory and its applications in both economic and social sciences; ii) a class of fairness metrics for ranking systems based on the Equality of Opportunity theory. We test our approach on an hypothetical scenario of a selection university process. A follow up analysis shows that the Fair-Distributive Ranking System preserves an equal exposure level for both minority and majority groups, providing a minimal system utility cost.",
isbn="978-3-030-78818-6"
}