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LAPI at MediaEval 2016 Predicting Media Interestingness Task.

, , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)

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Computational Understanding of Visual Interestingness Beyond Semantics: Literature Survey and Analysis of Covariates., , , and . ACM Comput. Surv., 52 (2): 25:1-25:37 (2019)MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval., , , , and . MMSys, page 450-455. ACM, (2018)LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective., , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content., , , , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Audio-visual encoding of multimedia content for enhancing movie recommendations., , , , , and . RecSys, page 455-459. ACM, (2018)LAPI @ 2016 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective., , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Predicting Interestingness of Visual Content., , , , , , and . Visual Content Indexing and Retrieval with Psycho-Visual Models, Springer, (2017)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , and . User Model. User-Adapt. Interact., 29 (2): 291-343 (2019)LAPI at MediaEval 2017 - Predicting Media Interestingness., , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)LAPI at MediaEval 2016 Predicting Media Interestingness Task., , and . MediaEval, volume 1739 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)