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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)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)The impact of hesitation, a social signal, on a user's quality of experience in multimedia content retrieval., , and . Multim. Tools Appl., 74 (17): 6871-6896 (2015)Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance., , , and . UMAP Workshops, volume 7138 of Lecture Notes in Computer Science, page 342-354. Springer, (2011)Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations.. ISMIS, volume 12117 of Lecture Notes in Computer Science, page 3-8. Springer, (2020)Prediction of Eudaimonic and Hedonic Movie Characteristics from Subtitles., and . HCI-SI, volume 3054 of CEUR Workshop Proceedings, page 54-61. CEUR-WS.org, (2021)Tribalism and Fake News: Descriptive and Predictive Models on How Belief Influences News Trust., , and . HCI-SI, volume 3300 of CEUR Workshop Proceedings, CEUR-WS.org, (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)