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An analysis of global and regional mainstreaminess for personalized music recommender systems

, and . Journal of Mobile Multimedia, 14 (1): 95-112 (January 2018)
DOI: 10.13052/jmm1550-4646.1415

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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)Music Tower Blocks: Multi-Faceted Exploration Interface for Web-Scale Music Access., , and . ICMR, page 388-392. ACM, (2020)ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations., , , and . ACM Trans. Intell. Syst. Technol., 14 (5): 80:1-80:29 (October 2023)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)Affect in Multimedia: Benchmarking Violent Scenes Detection., , , , , , and . IEEE Trans. Affect. Comput., 13 (1): 347-366 (2022)Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset., , , , and . CIKM, page 4339-4343. ACM, (2022)How item discovery enabled by diversity leads to increased recommendation list attractiveness., , , , and . SAC, page 1693-1696. ACM, (2017)Personality & Emotional States: Understanding Users' Music Listening Needs., , and . UMAP Workshops, volume 1388 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)