Online certification of preference-based fairness for personalized recommender systems

• URL: http://arxiv.org/abs/2104.14527v1
• Date: Thu, 29 Apr 2021 17:45:27 GMT
• Title: Online certification of preference-based fairness for personalized recommender systems
• Authors: Virginie Do, Sam Corbett-Davies, Jamal Atif, Nicolas Usunier
• Abstract summary: We assess the fairness of personalized recommender systems in the sense of envy-freeness. We propose an auditing algorithm based on pure exploration and conservative constraints in multi-armed bandits.
• Score: 20.875347023588652
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose to assess the fairness of personalized recommender systems in the sense of envy-freeness: every (group of) user(s) should prefer their recommendations to the recommendations of other (groups of) users. Auditing for envy-freeness requires probing user preferences to detect potential blind spots, which may deteriorate recommendation performance. To control the cost of exploration, we propose an auditing algorithm based on pure exploration and conservative constraints in multi-armed bandits. We study, both theoretically and empirically, the trade-offs achieved by this algorithm.

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