Vincenzo Paparella

According to our database, Vincenzo Paparella authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Unveiling the Potential of Recommender Systems through Multi-Objective Metrics.

Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Alessandro De Bellis, Tommaso Di Noia

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

2023

A Pareto-Optimality-Based Approach for Selecting the Best Machine Learning Models in Mild Cognitive Impairment Prediction.

Paolo Sorino, Vincenzo Paparella, Domenico Lofù, Tommaso Colafiglio, Eugenio Di Sciascio, Fedelucio Narducci, Rodolfo Sardone, Tommaso Di Noia

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy.

Vincenzo Paparella, Dario Di Palma, Vito Walter Anelli, Tommaso Di Noia

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

Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives.

Vincenzo Paparella, Vito Walter Anelli, Ludovico Boratto, Tommaso Di Noia

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

Knowledge Graph Datasets for Recommendation.

Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia

Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective.

Dario Di Palma, Vito Walter Anelli, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo, Yashar Deldjoo, Tommaso Di Noia

Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), 2023

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering.

Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, Claudio Pomo

Proceedings of the Advances in Information Retrieval, 2023

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation.

Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems.

Vincenzo Paparella

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

An Analysis of Local Explanation with LIME-RS.

Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo

Proceedings of the 12th Italian Information Retrieval Workshop 2022, 2022

2021

Adherence and Constancy in LIME-RS Explanations for Recommendation.

Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo

CoRR, 2021

Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper).

Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Francesco Maria Donini, Vincenzo Paparella, Claudio Pomo

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021