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Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access., , and . ICMR, page 388-392. ACM, (2020)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music., , , , , and . IEEE Trans. Affect. Comput., 9 (4): 507-525 (2018)Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies., , and . ICDIM, page 519-524. IEEE, (2006)Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity., , and . CMMR, volume 3902 of Lecture Notes in Computer Science, page 196-200. Springer, (2005)Modeling Popularity and Temporal Drift of Music Genre Preferences., , and . Trans. Int. Soc. Music. Inf. Retr., 3 (1): 17-30 (2020)An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation., , , and . ACM Trans. Intell. Syst. Technol., 10 (5): 57:1-57:21 (2019)ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations., , , and . ACM Trans. Intell. Syst. Technol., 14 (5): 80:1-80:29 (October 2023)Investigating gender fairness of recommendation algorithms in the music domain., , , , , and . Inf. Process. Manag., 58 (5): 102666 (2021)Personality & Emotional States: Understanding Users' Music Listening Needs., , and . UMAP Workshops, volume 1388 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)