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Antonio Ferrara
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Elliot: A comprehensive and rigorous framework for reproducible recommender systems evaluation
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
1332021
FedeRank: User Controlled Feedback with Federated Recommender Systems
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
Advances in Information Retrieval - 43rd European Conference on IR Research …, 2021
572021
Towards Effective Device-Aware Federated Learning
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara
AI*IA 2019 – Advances in Artificial Intelligence. AI*IA 2019. Lecture Notes …, 2019
412019
How to put users in control of their data in federated top-n recommendation with learning to rank
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1359-1362, 2021
352021
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino
Fifteenth ACM Conference on Recommender Systems, 154-165, 2021
342021
Pursuing privacy in recommender systems: the view of users and researchers from regulations to applications
VW Anelli, L Belli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci, C Pomo
Proceedings of the 15th ACM Conference on Recommender Systems, 838-841, 2021
152021
V-elliot: Design, evaluate and tune visual recommender systems
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
Proceedings of the 15th ACM Conference on Recommender Systems, 768-771, 2021
152021
User-controlled federated matrix factorization for recommender systems
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
Journal of Intelligent Information Systems 58 (2), 287-309, 2022
142022
Kgflex: Efficient recommendation with sparse feature factorization and knowledge graphs
A Ferrara, VW Anelli, ACM Mancino, T Di Noia, E Di Sciascio
ACM Transactions on Recommender Systems 1 (4), 1-30, 2023
122023
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews.
VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ...
DL4SR@ CIKM, 2022
122022
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering.
VW Anelli, Y Deldjoo, T Di Noia, E Di Sciascio, A Ferrara, D Malitesta, ...
MORS@ RecSys 3268, 2022
112022
Prioritized multi-criteria federated learning
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara
Intelligenza Artificiale 14 (2), 183-200, 2021
92021
Fourth knowledge-aware and conversational recommender systems workshop (kars)
VW Anelli, P Basile, G De Melo, FM Donini, A Ferrara, C Musto, ...
Proceedings of the 16th ACM Conference on Recommender Systems, 663-666, 2022
72022
KGTORe: tailored recommendations through knowledge-aware GNN models
ACM Mancino, A Ferrara, S Bufi, D Malitesta, T Di Noia, E Di Sciascio
Proceedings of the 17th ACM Conference on Recommender Systems, 576-587, 2023
62023
An out-of-the-box application for reproducible graph collaborative filtering extending the elliot framework
D Malitesta, C Pomo, VW Anelli, T Di Noia, A Ferrara
Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023
52023
Federated Recommender Systems with Learning to Rank.
VW Anelli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci
SEBD, 71-82, 2021
22021
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
Aachen: M. Jeusfeld c/o Redaktion Sun SITE, Informatik V, RWTH Aachen., 2021
22021
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
VW Anelli, A Ferrara, C Musto, F Narducci, A Ragone, M Zanker
Proceedings of the 18th ACM Conference on Recommender Systems, 1245-1249, 2024
12024
Addressing Privacy in Recommender Systems with Federated Learning.
VW Anelli, T Di Noia, E Di Sciascio, A Ferrara, ACM Mancino
IIR, 2022
12022
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models.
VW Anelli, A Bellogín, A Ferrara, D Malitesta, FA Merra, C Pomo, ...
SEBD, 514-521, 2022
12022
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