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Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations.

. ISMIS, том 12117 из Lecture Notes in Computer Science, стр. 3-8. Springer, (2020)

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Exploring Music Diversity Needs Across Countries., , , и . UMAP, стр. 287-288. ACM, (2016)Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material., , , и . ICMR, стр. 393-396. ACM, (2016)Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance., , , и . UMAP Workshops, том 7138 из Lecture Notes in Computer Science, стр. 342-354. Springer, (2011)On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music., , , , , и . 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., , и . Multim. Tools Appl., 74 (17): 6871-6896 (2015)Personality & Emotional States: Understanding Users' Music Listening Needs., , и . UMAP Workshops, том 1388 из CEUR Workshop Proceedings, CEUR-WS.org, (2015)Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study., , и . UMAP (Adjunct Publication), стр. 44-49. ACM, (2023)How item discovery enabled by diversity leads to increased recommendation list attractiveness., , , , и . SAC, стр. 1693-1696. ACM, (2017)Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations.. ISMIS, том 12117 из Lecture Notes in Computer Science, стр. 3-8. Springer, (2020)From Implicit Data to Cognitive Models for Recommender Systems.. IIR, том 3177 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)