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Predicting user demographics from music listening information., , , and . Multimedia Tools Appl., 78 (3): 2897-2920 (2019)#nowplaying Madonna: a large-scale evaluation on estimating similarities between music artists and between movies from microblogs.. Inf. Retr., 15 (3-4): 183-217 (2012)Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material., , , and . ICMR, page 393-396. ACM, (2016)The LFM-1b Dataset for Music Retrieval and Recommendation.. ICMR, page 103-110. ACM, (2016)Exploring Music Diversity Needs Across Countries., , , and . UMAP, page 287-288. ACM, (2016)Hybrid retrieval approaches to geospatial music recommendation., and . SIGIR, page 793-796. ACM, (2013)Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories.. HUMANIZE@IUI, page 7-11. ACM, (2017)Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation.. MoMM, page 3. ACM, (2013)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)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)