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The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists.

, , , , and . EMPIRE@RecSys, volume 1680 of CEUR Workshop Proceedings, page 43-47. CEUR-WS.org, (2016)

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Ameliorating Music Recommendation: Integrating Music Content, Music Context, and User Context for Improved Music Retrieval and Recommendation.. MoMM, page 3. 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)#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)The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study., , and . CoRR, (2019)Music Information Retrieval: Recent Developments and Applications., , and . Found. Trends Inf. Retr., 8 (2-3): 127-261 (2014)Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval., , , , and . ISMIR, page 543-548. International Society for Music Information Retrieval, (2010)Augmenting Text-based Music Retrieval with Audio Similarity: Advantages and Limitations., , , , , and . ISMIR, page 579-584. International Society for Music Information Retrieval, (2009)Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics., , and . ISMIR, page 564-569. (2005)