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Movie genome: alleviating new item cold start in movie recommendation.

, , , , , , , и . User Model. User Adapt. Interact., 29 (2): 291-343 (2019)

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Constantin Gabriel Daniliuc

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lin Alexandru Mihai

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MMTF-14K: a multifaceted movie trailer feature dataset for recommendation and retrieval., , , , и . MMSys, стр. 450-455. ACM, (2018)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)The Predicting Media Memorability Task at MediaEval 2019., , , , , и . MediaEval, том 2670 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)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)AI Multimedia Lab at ImageCLEFmedical GANs 2024: Deep Learning Approaches for Analyzing Synthetic Medical Images., , , и . CLEF (Working Notes), том 3740 из CEUR Workshop Proceedings, стр. 1480-1489. CEUR-WS.org, (2024)Audio-visual encoding of multimedia content for enhancing movie recommendations., , , , , и . RecSys, стр. 455-459. ACM, (2018)Using Vision Transformers and Memorable Moments for the Prediction of Video Memorability., и . MediaEval, том 3181 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)