Gender Bias

Fair Play? Mitigating bias in music recommender systems
Invited talk at the HCI Lecture Series at the University of Salzburg.
23 April 2025
Fairness in algorithmic decision-making: The effects of bias mitigation strategies in music recommender systems
Invited talk for the “Forschungsseminar BWL” at the Department of Business at Paris Lodron University Salzburg.
20 November 2024
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Invited talk at the University of Regensburg.
18 December 2023
Breaking feedback loops in recommender systems: an example on mitigating artist gender bias in the music domain
Music recommendation systems from the perspective of artists: what constitutes fairness?
Invited talk at JADS.
28 November 2023
Music recommendation systems from the perspective of artists: what constitutes fairness?
Strategies for mitigating artist gender bias in music recommendation: a simulation study
Recommender systems are prone to various biases. Hence, bias mitigation approaches are needed to counteract those. In the music sector, …
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