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Break the Loop: Gender Imbalance in Music Recommenders

, , and . Proceedings of the 6th ACM SIGIR Conference on Human Information Interaction and Retrieval, page 249-254. New York, NY, USA, ACM, (March 2021)
DOI: 10.1145/3406522.3446033

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Music recommender systems: taking into account the artists' perspective.. Pompeu Fabra University, Spain, (2021)Search a Great Leveler? Ensuring More Equitable Information Acquisition., , , , , , , , and . ASIST, volume 58 of Proc. Assoc. Inf. Sci. Technol., page 613-618. Wiley, (2021)Enriched Music Representations With Multiple Cross-Modal Contrastive Learning., , , , and . IEEE Signal Process. Lett., (2021)Offline Retrieval Evaluation Without Evaluation Metrics., and . SIGIR, page 599-609. ACM, (2022)Exploring Longitudinal Effects of Session-based Recommendations., , and . RecSys, page 474-479. ACM, (2020)Balancing Exposure and Relevance in Academic Search., , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns., and . DLfm, page 34-37. ACM, (2018)Music cold-start and long-tail recommendation: bias in deep representations.. RecSys, page 586-590. ACM, (2019)Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship, , , and . (2022)Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship., , , and . CoRR, (2023)