Vincenzo Paparella

16 papers A 5B 1Journal 3Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WarpRec: Unifying Academic Rigor and Industrial Scale for Responsible, Reproducible, and Efficient Recommendation. CoRR Marco Avolio, Potito Aghilar, Sabino Roccotelli, Vito Walter Anelli, Chiara Mallamaci, Vincenzo Paparella, Marco Valentini, Alejandro Bellogín, Michelantonio Trizio, Joseph Trotta, Antonio Ferrara, Tommaso Di Noia
2025	A	`conf`	Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems. UMAP Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia
2025	—	`conf`	Less Data, More Questions: Fairness and Accuracy Under Data Minimization in Recommender Systems. IIR Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia
2024	—	`conf`	Unveiling the Potential of Recommender Systems through Multi-Objective Metrics. IIR Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Alessandro De Bellis, Tommaso Di Noia
2023	B	`conf`	A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction. SMC Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia
2023	—	`conf`	Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering. ECIR (1) Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo
2023	A	`conf`	Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy. RecSys Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia
2023	—	`conf`	Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective. IIR Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia
2023	—	`conf`	Knowledge Graph Datasets for Recommendation. KaRS@RecSys Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia
2023	A	`conf`	Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CIKM Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
2023	J	`jnl`	Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation. CoRR Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
2023	A	`conf`	Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives. RecSys Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia
2022	—	`conf`	An Analysis of Local Explanation with LIME-RS. IIR Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
2022	A	`conf`	Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems. RecSys Vincenzo Paparella
2021	—	`conf`	Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper). KaRS/ComplexRec@RecSys Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo
2021	J	`jnl`	Adherence and Constancy in LIME-RS Explanations for Recommendation. CoRR Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo