Sfoglia per Autore
Towards Effective Device-Aware Federated Learning
2019-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio
Prioritized Multi-Criteria Federated Learning
2020-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio
FedeRank: User Controlled Feedback with Federated Recommender Systems
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio; Narducci, Fedelucio
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
2021-01-01 Anelli, Vito Walter; Di Noia, Tommaso; Di Sciascio, Eugenio; Ferrara, Antonio; Mancino, Alberto Carlo Maria
V-Elliot: Design, evaluate and tune visual recommender systems
2021-01-01 Anelli, V. W.; Bellogin, A.; Ferrara, A.; Malitesta, D.; Merra, F. A.; Pomo, C.; Donini, F. M.; Di Noia, T.
Sparse embeddings for recommender systems with knowledge graphs
2021-01-01 Anelli, V. W.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Mancino, A.
Federated recommender systems with learning to rank
2021-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Ferrara, A.; Narducci, F.
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation
2021-01-01 Anelli, V. W.; Bellogin, A.; Ferrara, A.; Malitesta, D.; Merra, F. A.; Pomo, C.; Donini, F. M.; Di Sciascio, E.; Di Noia, T.
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
2021-01-01 Anelli, Vito Walter; Bellogin, Alejandro; Ferrara, Antonio; Malitesta, Daniele; Merra, Felice Antonio; Pomo, Claudio; Maria Donini, Francesco; Di Noia, Tommaso
How to put users in control of their data in federated top-N recommendation with learning to rank
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio; Narducci, Fedelucio
Pursuing Privacy in Recommender Systems: the Viewof Users and Researchers from Regulations to Applications
2021-01-01 Anelli, Vw; Belli, L; Deldjoo, Y; Di Noia, T; Ferrara, A; Narducci, F; Pomo, C
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs
2022-01-01 Anelli, V. W.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Mancino, A. C. M.
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models
2022-01-01 Anelli, V. W.; Bellogin, A.; Ferrara, A.; Malitesta, D.; Merra, F. A.; Pomo, C.; Donini, F. M.; Di Sciascio, E.; Di Noia, T.
User-controlled federated matrix factorization for recommender systems
2022-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Ferrara, A.; Narducci, F.
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022)
2022-01-01 Anelli, V. W.; Basile, P.; De Melo, G.; Donini, F. M.; Ferrara, A.; Musto, C.; Narducci, F.; Ragone, A.; Zanker, M.
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews
2022-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Malitesta, D.; Pomo, C.
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering
2022-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Malitesta, D.; Pomo, C.
Addressing Privacy in Recommender Systems with Federated Learning
2022-01-01 Anelli, V. W.; Di Noia, T.; Di Sciascio, E.; Ferrara, A.; Mancino, A. C. M.
Pursuing Privacy and Personalization in Recommender Systems: The Role of Federated Learning
2022-01-01 Ferrara, Antonio
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
2022-01-01 Anelli, V. W.; Basile, P.; De Melo, G.; Donini, F. M.; Ferrara, A.; Musto, C.; Narducci, F.; Ragone, A.; Zanker, M.
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