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Predicting Movie Popularity and Ratings with Visual Features., , , , and . SMAP, page 1-6. IEEE, (2019)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)Exploring the Semantic Gap for Movie Recommendations., , , , , and . RecSys, page 326-330. ACM, (2017)Investigating the Decision Making Process of Users based on the PoliMovie Dataset., , and . DMRS, volume 1533 of CEUR Workshop Proceedings, page 41-44. CEUR-WS.org, (2015)Capacity-Based Trust System in Untrusted MEC Environments., , , and . IOTSMS, page 1-8. IEEE, (2022)MORS 2021: 1st Workshop on Multi-Objective Recommender Systems., , , , , , and . RecSys, page 787-788. ACM, (2021)Content-Based Video Recommendation System Based on Stylistic Visual Features., , , , , and . J. Data Semant., 5 (2): 99-113 (2016)Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space., , and . UMAP (Adjunct Publication), page 35-40. ACM, (2017)Exploring Personalized University Ranking and Recommendation., , , and . UMAP (Adjunct Publication), page 6-10. ACM, (2020)STS: Design of Weather-Aware Mobile Recommender Systems in Tourism., , , , and . AI*HCI@AI*IA, volume 1125 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)