Current challenges and visions in music recommender systems research M Schedl, H Zamani, CW Chen, Y Deldjoo, M Elahi International Journal of Multimedia Information Retrieval 7, 95-116, 2018 | 392 | 2018 |
Content-based video recommendation system based on stylistic visual features Y Deldjoo, M Elahi, P Cremonesi, F Garzotto, P Piazzolla, M Quadrana Journal on Data Semantics 5, 99-113, 2016 | 262 | 2016 |
Recommender systems leveraging multimedia content Y Deldjoo, M Schedl, P Cremonesi, G Pasi ACM Computing Surveys (CSUR) 53 (5), 1-38, 2021 | 194 | 2021 |
A survey on adversarial recommender systems: from attack/defense strategies to generative adversarial networks Y Deldjoo, T Di Noia, FA Merra ACM Computing Surveys (CSUR), 1-38, 2022 | 184 | 2022 |
Movie genome: alleviating new item cold start in movie recommendation Y Deldjoo, MF Dacrema, MG Constantin, H Eghbal-Zadeh, S Cereda, ... User Modeling and User-Adapted Interaction 29, 291-343, 2019 | 105 | 2019 |
A flexible framework for evaluating user and item fairness in recommender systems Y Deldjoo, VW Anelli, H Zamani, A Bellogin, T Di Noia User Modeling and User-Adapted Interaction, 1-47, 2021 | 85 | 2021 |
Using visual features based on MPEG-7 and deep learning for movie recommendation Y Deldjoo, M Elahi, M Quadrana, P Cremonesi International journal of multimedia information retrieval 7, 207-219, 2018 | 85 | 2018 |
Recsys challenge 2017: Offline and online evaluation F Abel, Y Deldjoo, M Elahi, D Kohlsdorf Proceedings of the eleventh acm conference on recommender systems, 372-373, 2017 | 82 | 2017 |
Cpfair: Personalized consumer and producer fairness re-ranking for recommender systems M Naghiaei, HA Rahmani, Y Deldjoo Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 80 | 2022 |
Fairness in recommender systems: research landscape and future directions Y Deldjoo, D Jannach, A Bellogin, A Difonzo, D Zanzonelli User Modeling and User-Adapted Interaction 34 (1), 59-108, 2024 | 65 | 2024 |
Explaining recommender systems fairness and accuracy through the lens of data characteristics Y Deldjoo, A Bellogin, T Di Noia Information Processing & Management 58 (5), 102662, 2021 | 65 | 2021 |
A review of modern fashion recommender systems Y Deldjoo, F Nazary, A Ramisa, J Mcauley, G Pellegrini, A Bellogin, ... ACM Computing Surveys (CSUR) 56 (4), 1-37, 2023 | 59 | 2023 |
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models Y Deldjoo, T Di Noia, E Di Sciascio, FA Merra Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 58 | 2020 |
Audio-visual encoding of multimedia content for enhancing movie recommendations Y Deldjoo, MG Constantin, H Eghbal-Zadeh, B Ionescu, M Schedl, ... Proceedings of the 12th ACM Conference on Recommender Systems, 455-459, 2018 | 58 | 2018 |
Exploring The Semantic Gap for Movie Recommendation M Elahi, D Yashar, F Bakhshandegan Moghaddam, C Leonardo, ... Proceedings of 11th ACM Conference of Recommender Systems, 2017 | 58 | 2017 |
Multimedia recommender systems: Algorithms and challenges Y Deldjoo, M Schedl, B Hidasi, Y Wei, X He Recommender systems handbook, 973-1014, 2021 | 56 | 2021 |
FedeRank: User Controlled Feedback with Federated Recommender Systems VW Anelli, Y Deldjooo, T Di Noia, A Ferrara, F Narducci European Conference on Information Retrieval (ECIR'21), 2021 | 52 | 2021 |
Adversarial machine learning in recommender systems (aml-recsys) Y Deldjoo, T Di Noia, FA Merra Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 45 | 2020 |
MMTF-14K: A multifaceted movie trailer feature dataset for recommendation and retrieval Y Deldjoo, MG Constantin, B Ionescu, M Schedl, P Cremonesi Proceedings of the 9th ACM Multimedia Systems Conference, 450-455, 2018 | 43 | 2018 |
Content-driven music recommendation: Evolution, state of the art, and challenges Y Deldjoo, M Schedl, P Knees Computer Science Review 51, 100618, 2024 | 41 | 2024 |