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Predicting Genre Preferences from Cultural and Socio-Economic Factors for Music Retrieval.

, , , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 561-567. (2017)

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Fourth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary., , , and . IUI Companion, page 19-20. ACM, (2020)Predicting Musical Sophistication from Music Listening Behaviors: A Preliminary Study., and . CoRR, (2018)Personality Correlates for Digital Concert Program Notes., , , and . UMAP, volume 9146 of Lecture Notes in Computer Science, page 364-369. Springer, (2015)Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features?, and . UMAP, page 157-161. ACM, (2018)Exploring Online Music Listening Behaviors of Musically Sophisticated Users., and . UMAP (Adjunct Publication), page 33-37. ACM, (2019)Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education., , , , , , , , , and 28 other author(s). SIGIR Forum, 57 (1): 7:1-7:28 (June 2023)Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much., , and . AutomotiveUI (Adjunct Proceedings), page 79-82. ACM, (2022)Personalizing Online Educational Tools., and . HUMANIZE@IUI, page 27-30. ACM, (2017)Investigating the Psychological Impact of Emotion Visualization and Heart Rate Sharing in Online Communication., , and . HCI (26), volume 14036 of Lecture Notes in Computer Science, page 169-184. Springer, (2023)Exploring Music Diversity Needs Across Countries., , , and . UMAP, page 287-288. ACM, (2016)