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Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?, , , , , , and . RecSys, page 601-606. ACM, (2021)Personality Correlates of Music Audio Preferences for Modelling Music Listeners., and . UMAP, page 313-317. ACM, (2020)Pandemics, music, and collective sentiment: evidence from the outbreak of COVID-19., , , , and . ISMIR, page 157-165. (2020)Personality Bias of Music Recommendation Algorithms., , and . RecSys, page 533-538. ACM, (2020)EmoMTB: Emotion-aware Music Tower Blocks., , , , , , , , and . ICMR, page 206-210. ACM, (2022)Modular Debiasing of Latent User Representations in Prototype-Based Recommender Systems., , , and . ECML/PKDD (1), volume 14941 of Lecture Notes in Computer Science, page 56-72. Springer, (2024)Exploring Cross-group Discrepancies in Calibrated Popularity for Accuracy/Fairness Trade-off Optimization., , , , , , and . MORS@RecSys, volume 3268 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)LEMONS: Listenable Explanations for Music recOmmeNder Systems., , , and . ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 531-536. Springer, (2021)ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations., , , and . RecSys, page 246-256. ACM, (2022)