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MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval., , , , и . MMSys, стр. 450-455. ACM, (2018)LAPI @ 2017 Retrieving Diverse Social Images Task: A Pseudo-Relevance Feedback Diversification Perspective., , и . MediaEval, том 1984 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)The MediaEval 2018 Movie Recommendation Task: Recommending Movies Using Content., , , , и . MediaEval, том 2283 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)The Predicting Media Memorability Task at MediaEval 2019., , , , , и . MediaEval, том 2670 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Overview of ImageCLEFfusion 2022 Task - Ensembling Methods for Media Interestingness Prediction and Result Diversification., , , и . CLEF (Working Notes), том 3180 из CEUR Workshop Proceedings, стр. 1339-1346. CEUR-WS.org, (2022)Deep Learning-based Person Search with Visual Attention Embedding., , , , и . COMM, стр. 303-308. IEEE, (2020)ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications., , , , , , , , , и 22 other автор(ы). ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 533-541. Springer, (2020)Assessing the difficulty of predicting media memorability., , , и . CBMI, стр. 188-192. ACM, (2023)ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications, , , , , , , , , и 22 other автор(ы). Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II, том 12036 из Lecture Notes in Computer Science, стр. 533--541. Springer, (2020)Movie genome: alleviating new item cold start in movie recommendation., , , , , , , и . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)