Break the loop: gender imbalance in music recommenders

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• dc.contributor.author Ferraro, Andrés
• dc.contributor.author Serra, Xavier
• dc.contributor.author Bauer, Christine
• dc.date.accessioned 2021-08-05T09:39:55Z
• dc.date.available 2021-08-05T09:39:55Z
• dc.date.issued 2021
• dc.description Comunicació presentada a: CHIIR '21, Conference on Human Information Interaction and Retrieval celebrat del 14 al 19 de març de 2021 a Canberra, Austràlia.
• dc.description.abstract As recommender systems play an important role in everyday life, there is an increasing pressure that such systems are fair. Besides serving diverse groups of users, recommenders need to represent and serve item providers fairly as well. In interviews with music artists, we identified that gender fairness is one of the artists' main concerns. They emphasized that female artists should be given more exposure in music recommendations. We analyze a widely-used collaborative filtering approach with two public datasets-enriched with gender information-to understand how this approach performs with respect to the artists' gender. To achieve gender balance, we propose a progressive re-ranking method that is based on the insights from the interviews. For the evaluation, we rely on a simulation of feedback loops and provide an in-depth analysis using state-of-the-art performance measures and metrics concerning gen-der fairness.
• dc.format.mimetype application/pdf
• dc.identifier.citation Ferraro A, Serra X, Bauer C. Break the loop: gender imbalance in music recommenders. In: CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval; 2021 Mar 14-19; Canberra, Australia. New York: ACM; 2021. p. 249-54. DOI: 10.1145/3406522.3446033
• dc.identifier.doi http://dx.doi.org/10.1145/3406522.3446033
• dc.identifier.uri http://hdl.handle.net/10230/48318
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machinery
• dc.relation.ispartof CHIIR '21: Proceedings of the 2021 Conference on Human Information Interaction and Retrieval; 2021 Mar 14-19; Canberra, Australia. New York: ACM; 2021.
• dc.rights This work is licensed under a Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Recommender systems
• dc.subject.keyword Artists
• dc.subject.keyword Music
• dc.subject.keyword Gender balance
• dc.subject.keyword Fairness
• dc.subject.keyword Bias
• dc.title Break the loop: gender imbalance in music recommenders
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion