Salvatore Bufi

According to our database, Salvatore Bufi authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems.

Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems.

Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Less Data, More Questions: Fairness and Accuracy Under Data Minimization in Recommender Systems.

Salvatore Bufi, Vincenzo Paparella, Vito Walter Anelli, Tommaso Di Noia

Proceedings of the 15th Italian Information Retrieval Workshop (IIR 2025), 2025

Type-Less yet Type-Aware Inductive Link Prediction with Pretrained Language Models.

Alessandro De Bellis, Salvatore Bufi, Giovanni Servedio, Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis.

Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Antonio Ferrara, Tommaso Di Noia

CoRR, 2024

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering.

Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the Advances on Graph-Based Approaches in Information Retrieval, 2024

2023

KGTORe: Tailored Recommendations through Knowledge-aware GNN Models.

Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio

Proceedings of the 17th ACM Conference on Recommender Systems, 2023