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Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors.

, , , , and . ISM, page 308-311. IEEE Computer Society, (2017)

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Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories.. HUMANIZE@IUI, page 7-11. ACM, (2017)Hybrid retrieval approaches to geospatial music recommendation., and . SIGIR, page 793-796. ACM, (2013)Exploring Music Diversity Needs Across Countries., , , and . UMAP, page 287-288. ACM, (2016)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)Music4All-Onion - A Large-Scale Multi-faceted Content-Centric Music Recommendation Dataset., , , , and . CIKM, page 4339-4343. ACM, (2022)Personality & Emotional States: Understanding Users' Music Listening Needs., , and . UMAP Workshops, volume 1388 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)How item discovery enabled by diversity leads to increased recommendation list attractiveness., , , , and . SAC, page 1693-1696. ACM, (2017)Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition., , , , and . ISMIR, page 884-890. (2022)Traces of Globalization in Online Music Consumption Patterns and Results of Recommendation Algorithms., , , , , and . ISMIR, page 291-297. (2022)