Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches

Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven. Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. In Ludovico Boratto, Stefano Faralli 0001, Mirko Marras, Giovanni Stilo, editors, Advances in Bias and Fairness in Information Retrieval - Third International Workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, Revised Selected Papers. Volume 1610 of Communications in Computer and Information Science, pages 82-90, Springer, 2022. [doi]

Abstract

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