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Alleviating the new user problem in collaborative filtering by exploiting personality information.

, , , , and . User Model. User Adapt. Interact., 26 (2-3): 221-255 (2016)

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Techniques for cold-starting context-aware mobile recommender systems for tourism., , and . Intelligenza Artificiale, 8 (2): 129-143 (2014)Exploring Personalized University Ranking and Recommendation., , , and . UMAP (Adjunct Publication), page 6-10. ACM, (2020)Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space., , and . UMAP (Adjunct Publication), page 35-40. ACM, (2017)Content-Based Video Recommendation System Based on Stylistic Visual Features., , , , , and . J. Data Semant., 5 (2): 99-113 (2016)Predicting Movie Popularity and Ratings with Visual Features., , , , and . SMAP, page 1-6. IEEE, (2019)Exploring the Semantic Gap for Movie Recommendations., , , , , and . RecSys, page 326-330. ACM, (2017)Toward Building a Content-Based Video Recommendation System Based on Low-Level Features., , , and . EC-Web, volume 239 of Lecture Notes in Business Information Processing, page 45-56. Springer, (2015)Current challenges and visions in music recommender systems research., , , , and . Int. J. Multim. Inf. Retr., 7 (2): 95-116 (2018)Towards responsible media recommendation., , , , , , , , , and 4 other author(s). AI Ethics, 2 (1): 103-114 (2022)AudioLens: Audio-Aware Video Recommendation for Mitigating New Item Problem., , , and . ICSOC Workshops, volume 12632 of Lecture Notes in Computer Science, page 365-378. Springer, (2020)