Antonio Ferrara

49 papers A* 2A 7B 1Misc 1Journal 15Unranked 19

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`	DataRec: A Python Library for Standardized and Reproducible Data Management in Recommender Systems. SIGIR Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo, Tommaso Di Noia
2025	J	`jnl`	Detecting label noise in longitudinal Alzheimer's data with explainable artificial intelligence. Brain Informatics Paolo Sorino, Angela Lombardi, Domenico Lofù, Tommaso Colafiglio, Antonio Ferrara, Fedelucio Narducci, Eugenio Di Sciascio, Tommaso Di Noia
2025	—	`conf`	Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. ECIR (5) Antonio Ferrara, Claudio Pomo, Nicola Tonellotto
2025	B	`conf`	Enhancing Reproducibility and Replicability in Information Retrieval: A Path Towards Scientific Integrity and Effective Research. ICWE Antonio Ferrara, Claudio Pomo, Nicola Tonellotto
2025	—	`conf`	Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism. ECIR (3) Antonio Ferrara, Angela Di Fazio, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio
2025	—	`conf`	Exploring Explainability in Federated Learning: A Comparative Study on Brain Age Prediction. xAI (1) Giuseppe Fasano, Angela Lombardi, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia
2025	—	`conf`	Exploring the Impact of Data Quality on Agentic Recommender Systems. DaQuaMRec@RecSys Marco Valentini, Antonio Ferrara, Tommaso Di Noia
2025	—	`conf`	Leveraging LLM-Powered Multi-Agent Systems to Enhance Customer Experience in Complex Product Domains. IIR Marco Valentini, Antonio Ferrara, Tommaso Di Noia, Giuseppe Illuzzi, Pierangelo Colacicco
2024	—	`conf`	DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation. RecSys Challenge Antonio Ferrara, Marco Valentini, Paolo Masciullo, Antonio De Candia, Davide Abbattista, Riccardo Fusco, Claudio Pomo, Vito Walter Anelli, Giovanni Maria Biancofiore, Ludovico Boratto, Fedelucio Narducci
2024	J	`jnl`	DataRec: A Framework for Standardizing Recommendation Data Processing and Analysis. CoRR Alberto Carlo Maria Mancino, Salvatore Bufi, Angela Di Fazio, Daniele Malitesta, Claudio Pomo, Antonio Ferrara, Tommaso Di Noia
2024	J	`jnl`	Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. Brain Informatics Maria Luigia Natalia De Bonis, Giuseppe Fasano, Angela Lombardi, Carmelo Ardito, Antonio Ferrara, Eugenio Di Sciascio, Tommaso Di Noia
2024	—	`conf`	KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering. IRonGraphs Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
2024	J	`jnl`	KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering. CoRR Salvatore Bufi, Alberto Carlo Maria Mancino, Antonio Ferrara, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
2024	—	`ed.`	Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18th, 2024. KaRS@RecSys Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2024	A	`conf`	Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys Vito Walter Anelli, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2023	—	`conf`	An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework. UMAP (Adjunct Publication) Daniele Malitesta, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia, Antonio Ferrara
2023	A	`conf`	Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco M. Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2023	J	`jnl`	KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs. Trans. Recomm. Syst. Antonio Ferrara, Vito Walter Anelli, Alberto Carlo Maria Mancino, Tommaso Di Noia, Eugenio Di Sciascio
2023	A	`conf`	KGTORe: Tailored Recommendations through Knowledge-aware GNN Models. RecSys Alberto Carlo Maria Mancino, Antonio Ferrara, Salvatore Bufi, Daniele Malitesta, Tommaso Di Noia, Eugenio Di Sciascio
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	—	`ed.`	Proceedings of the 13th Italian Information Retrieval Workshop (IIR 2023), Pisa, Italy, June 8-9, 2023. IIR Franco Maria Nardini, Nicola Tonellotto, Guglielmo Faggioli, Antonio Ferrara
2023	—	`ed.`	Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. KaRS@RecSys Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2023	J	`jnl`	Report on the 13th Italian Information Retrieval Workshop (IIR 2023). SIGIR Forum Guglielmo Faggioli, Antonio Ferrara, Franco Maria Nardini, Nicola Tonellotto
2022	—	`conf`	Addressing Privacy in Recommender Systems with Federated Learning. IIR Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
2022	A	`conf`	Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). RecSys Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2022	—	`conf`	How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. MORS@RecSys Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
2022	—	`conf`	Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs. SEBD Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
2022	—	`ed.`	Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022. KaRS@RecSys Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
2022	—	`conf`	Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews. DL4SR@CIKM Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo
2022	—	`conf`	The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models. SEBD Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Eugenio Di Sciascio, Tommaso Di Noia
2022	J	`jnl`	User-controlled federated matrix factorization for recommender systems. J. Intell. Inf. Syst. Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2021	A*	`conf`	Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. SIGIR Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
2021	J	`jnl`	Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. CoRR Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco M. Donini, Tommaso Di Noia
2021	—	`conf`	FedeRank: User Controlled Feedback with Federated Recommender Systems. ECIR (1) Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2021	—	`conf`	Federated Recommender Systems with Learning to Rank. SEBD Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2021	—	`conf`	How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation. IIR Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Eugenio Di Sciascio, Tommaso Di Noia
2021	Misc	`conf`	How to put users in control of their data in federated top-N recommendation with learning to rank. SAC Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2021	A	`conf`	Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. RecSys Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo
2021	—	`conf`	Sparse Embeddings for Recommender Systems with Knowledge Graphs. IIR Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
2021	A	`conf`	Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. RecSys Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
2021	J	`jnl`	Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. CoRR Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino
2021	A	`conf`	V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. RecSys Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia
2020	J	`jnl`	FedeRank: User Controlled Feedback with Federated Recommender Systems. CoRR Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2020	J	`jnl`	How to Put Users in Control of their Data via Federated Pair-Wise Recommendation. CoRR Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci
2020	J	`jnl`	Prioritized Multi-Criteria Federated Learning. CoRR Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
2020	J	`jnl`	Prioritized multi-criteria federated learning. Intelligenza Artificiale Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
2019	—	`conf`	Towards Effective Device-Aware Federated Learning. AI*IA Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara
2019	J	`jnl`	Towards Effective Device-Aware Federated Learning. CoRR Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara