| Sparse feature factorization for recommender systems with knowledge graphs VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino Proceedings of the 15th ACM Conference on Recommender Systems, 154-165, 2021 | 38 | 2021 |
| Are We Done with MMLU? AP Gema, JOJ Leang, G Hong, A Devoto, ACM Mancino, R Saxena, X He, ... arXiv preprint arXiv:2406.04127, 2024 | 30* | 2024 |
| Denoise to protect: a method to robustify visual recommenders from adversaries FA Merra, VW Anelli, T Di Noia, D Malitesta, ACM Mancino The 46th International ACM SIGIR Conference on Research and Development in …, 2023 | 13 | 2023 |
| KGFlex: Efficient recommendation with sparse feature factorization and knowledge graphs A Ferrara, VW Anelli, ACM Mancino, T Di Noia, E Di Sciascio ACM Transactions on Recommender Systems 1 (4), 1-30, 2023 | 12 | 2023 |
| KGTORe: Tailored Recommendations through Knowledge-aware GNN Models ACM Mancino, A Ferrara, S Bufi, D Malitesta, T Di Noia, E Di Sciascio The 17th ACM Conference on Recommender Systems (RecSys 2023), 2023 | 10 | 2023 |
| A topology-aware analysis of graph collaborative filtering D Malitesta, C Pomo, VW Anelli, ACM Mancino, E Di Sciascio, T Di Noia arXiv preprint arXiv:2308.10778, 2023 | 5 | 2023 |
| Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries ACM Mancino, T Di Noia International Conference on Web Engineering, 455-461, 2022 | 2 | 2022 |
| Addressing Privacy in Recommender Systems with Federated Learning. VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino IIR, 2022 | 1 | 2022 |
| Sparse Embeddings for Recommender Systems with Knowledge Graphs. VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino IIR, 2021 | 1 | 2021 |
| Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism A Ferrara, A Di Fazio, ACM Mancino, T Di Noia, E Di Sciascio Proceedings of the 47th European Conference on Information Retrieval (ECIR), 2025 | | 2025 |
| DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis ACM Mancino, S Bufi, A Di Fazio, D Malitesta, C Pomo, A Ferrara, ... arXiv preprint arXiv:2410.22972, 2024 | | 2024 |
| A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph D Malitesta, C Pomo, VW Anelli, ACM Mancino, T Di Noia, E Di Sciascio Proceedings of the 18th ACM Conference on Recommender Systems, 549-559, 2024 | | 2024 |
| Dot Product is All You Need: Bridging the Gap Between Item Recommendation and Link Prediction D Malitesta, ACM Mancino, P Minervini, T Di Noia arXiv preprint arXiv:2409.07433, 2024 | | 2024 |
| KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering S Bufi, ACM Mancino, A Ferrara, D Malitesta, T Di Noia, E Di Sciascio International Workshop on Graph-Based Approaches in Information Retrieval, 41-59, 2024 | | 2024 |
| Knowledge Graph Datasets for Recommendation. V Paparella, ACM Mancino, A Ferrara, C Pomo, VW Anelli, T Di Noia KaRS@ RecSys, 109-117, 2023 | | 2023 |
| Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino SEBD, 505-513, 2022 | | 2022 |
Tommaso Di NoiaFull Professor, Polytechnic University of BariZweryfikowany adres z poliba.it