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Toward Effective Movie Recommendations Based on Mise-en-Scène Film Styles., , , , and . CHItaly, page 162-165. ACM, (2015)Order, context and popularity bias in next-song recommendations., , , and . Int. J. Multim. Inf. Retr., 8 (2): 101-113 (2019)The effect of different video summarization models on the quality of video recommendation based on low-level visual features., , , and . CBMI, page 20:1-20:6. ACM, (2017)Modeling Musical Taste Evolution with Recurrent Neural Networks., , , , and . CoRR, (2018)Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation., , , and . CoRR, (2017)Sequence-Aware Recommender Systems., , and . ACM Comput. Surv., 51 (4): 66:1-66:36 (2018)Bootstrapping a Music Voice Assistant with Weak Supervision., , and . NAACL-HLT (Industry Papers), page 49-55. Association for Computational Linguistics, (2021)The Importance of Song Context and Song Order in Automated Music Playlist Generation., , , and . CoRR, (2018)Content-Based Video Recommendation System Based on Stylistic Visual Features., , , , , and . J. Data Semant., 5 (2): 99-113 (2016)Deriving Item Features Relevance from Past User Interactions., , , and . UMAP, page 275-279. ACM, (2017)