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Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation.

, , , , , , , , and . Int. J. Multim. Inf. Retr., 12 (1): 13 (June 2023)

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Grep-BiasIR: A Dataset for Investigating Gender Representation Bias in Information Retrieval Results., , , , , and . CHIIR, page 444-448. ACM, (2023)Investigating gender fairness of recommendation algorithms in the music domain., , , , , and . Inf. Process. Manag., 58 (5): 102666 (2021)Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms., , , , , and . ISMIR, page 291-297. (2022)Parameter-efficient Modularised Bias Mitigation via AdapterFusion., , , , , , and . EACL, page 2730-2743. Association for Computational Linguistics, (2023)Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?, , , , , , and . RecSys, page 601-606. ACM, (2021)Computational Versus Perceived Popularity Miscalibration in Recommender Systems., , , , , , , and . SIGIR, page 1889-1893. ACM, (2023)Grep-BiasIR: A Dataset for Investigating Gender Representation-Bias in Information Retrieval Results., , , , , and . CoRR, (2022)EmoMTB: Emotion-aware Music Tower Blocks., , , , , , , , and . ICMR, page 206-210. ACM, (2022)Unlearning Protected User Attributes in Recommendations with Adversarial Training., , , , and . SIGIR, page 2142-2147. ACM, (2022)LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis., , , , , and . CHIIR, page 337-341. ACM, (2022)