| Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization I Fernández-Tobías, I Cantador, P Tomeo, VW Anelli, T Di Noia User modeling and user-adapted interaction 29 (2), 443-486, 2019 | 55 | 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 31 (3), 457-511, 2021 | 41 | 2021 |
| How to make latent factors interpretable by feeding factorization machines with knowledge graphs VW Anelli, T Di Noia, E Di Sciascio, A Ragone, J Trotta International Semantic Web Conference, 38-56, 2019 | 32 | 2019 |
| Elliot: a comprehensive and rigorous framework for reproducible recommender systems evaluation VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ... The 44th International ACM SIGIR Conference, 2021, 2021 | 29 | 2021 |
| Sasha: Semantic-aware shilling attacks on recommender systems exploiting knowledge graphs VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, FA Merra European Semantic Web Conference, 307-323, 2020 | 28 | 2020 |
| An analysis on time-and session-aware diversification in recommender systems VW Anelli, V Bellini, T Di Noia, W La Bruna, P Tomeo, E Di Sciascio Proceedings of the 25th Conference on User Modeling, Adaptation and …, 2017 | 27 | 2017 |
| Auto-encoding user ratings via knowledge graphs in recommendation scenarios V Bellini, VW Anelli, T Di Noia, E Di Sciascio Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 60-66, 2017 | 24 | 2017 |
| Local popularity and time in top-n recommendation VW Anelli, T Di Noia, E Di Sciascio, A Ragone, J Trotta European Conference on Information Retrieval, 861-868, 2019 | 22 | 2019 |
| Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy FP Schena, VW Anelli, J Trotta, T Di Noia, C Manno, G Tripepi, G D’Arrigo, ... Kidney International 99 (5), 1179-1188, 2021 | 21 | 2021 |
| On the discriminative power of hyper-parameters in cross-validation and how to choose them VW Anelli, T Di Noia, E Di Sciascio, C Pomo, A Ragone Proceedings of the 13th ACM conference on recommender systems, 447-451, 2019 | 21 | 2019 |
| Recommender systems fairness evaluation via generalized cross entropy Y Deldjoo, VW Anelli, H Zamani, A Bellogín, T Di Noia arXiv preprint arXiv:1908.06708, 2019 | 21 | 2019 |
| Towards effective device-aware federated learning VW Anelli, Y Deldjoo, TD Noia, A Ferrara International Conference of the Italian Association for Artificial …, 2019 | 20 | 2019 |
| Knowledge-aware and conversational recommender systems VW Anelli, P Basile, D Bridge, T Di Noia, P Lops, C Musto, F Narducci, ... Proceedings of the 12th ACM Conference on Recommender Systems, 521-522, 2018 | 18 | 2018 |
| Feature Factorization for Top-N Recommendation: From Item Rating to Features Relevance. VW Anelli, T Di Noia, P Lops, E Di Sciascio RecSysKTL, 16-21, 2017 | 15 | 2017 |
| Federank: User controlled feedback with federated recommender systems VW Anelli, Y Deldjoo, TD Noia, A Ferrara, F Narducci European Conference on Information Retrieval, 32-47, 2021 | 13 | 2021 |
| Exposing open street map in the linked data cloud VW Anelli, A Calì, TD Noia, M Palmonari, A Ragone International Conference on Industrial, Engineering and Other Applications …, 2016 | 13 | 2016 |
| A study of defensive methods to protect visual recommendation against adversarial manipulation of images VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, FA Merra Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 12 | 2021 |
| How to put users in control of their data in federated top-N recommendation with learning to rank VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1359-1362, 2021 | 12 | 2021 |
| Semantic interpretation of top-n recommendations VW Anelli, T Di Noia, E Di Sciascio, A Ragone, J Trotta IEEE Transactions on Knowledge and Data Engineering, 2020 | 10 | 2020 |
| Msap: Multi-step adversarial perturbations on recommender systems embeddings VW Anelli, A Bellogin, Y Deldjoo, T Di Noia, FA Merra The 34th International FLAIRS Conference. The Florida AI Research Society …, 2021 | 9 | 2021 |
Tommaso Di NoiaFull Professor, Polytechnic University of BariBestätigte E-Mail-Adresse bei poliba.it
