Auditing consumer-and producer-fairness in graph collaborative filtering VW Anelli, Y Deldjoo, T Di Noia, D Malitesta, V Paparella, C Pomo European Conference on Information Retrieval, 33-48, 2023 | 6 | 2023 |
Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems V Paparella Proceedings of the 16th ACM Conference on Recommender Systems, 727-729, 2022 | 3 | 2022 |
Adherence and constancy in lime-rs explanations for recommendation VW Anelli, A Bellogín, T Di Noia, FM Donini, V Paparella, C Pomo Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and …, 2021 | 3 | 2021 |
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy V Paparella, D Di Palma, VW Anelli, T Di Noia Proceedings of the 17th ACM Conference on Recommender Systems, 1139-1145, 2023 | | 2023 |
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives V Paparella, VW Anelli, L Boratto, T Di Noia Proceedings of the 17th ACM Conference on Recommender Systems, 467-478, 2023 | | 2023 |
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation V Paparella, VW Anelli, FM Nardini, R Perego, T Di Noia arXiv preprint arXiv:2306.12165, 2023 | | 2023 |
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective D Di Palma, VW Anelli, D Malitesta, V Paparella, C Pomo, Y Deldjoo, ... | | 2023 |
A Pareto-Optimality-based approach for selecting the best Machine Learning models in mild cognitive impairment prediction P Sorino, V Paparella, D Lofu, T Colafiglio, E Di Sciascio, F Narducci, ... | | 2023 |
An Analysis of Local Explanation with LIME-RS VW Anelli, A Bellogín, T Di Noia, FM Donini, V Paparella, C Pomo 12th Italian Information Retrieval Workshop, Milan, Italy, 2022, 2022 | | 2022 |