Sfoglia per Autore
The importance of being dissimilar in Recommendation
2019-01-01 Anelli, Vito Walter; Di Noia, Tommaso; Di Sciascio, Eugenio; Ragone, Azzurra; Trotta, Joseph
Recommender systems fairness evaluation via generalized cross entropy
2019-01-01 Deldjoo, Yashar; Anelli, Vito Walter; Zamani, Hamed; Bellogin Kouki, Alejandro; Di Noia, Tommaso
Knowledge-Enabled Recommender Systems in the Linked Data Era
2020-01-01 Anelli, Vito Walter
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code
2020-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Merra, Felice Antonio
Knowledge-enhanced Shilling Attacks for Recommendation
2020-01-01 Anelli, V. W.; Deldjoo, Y.; Di, T.; Merra, F. A.; Acciani, G.; Sciascio, E. D.
Prioritized Multi-Criteria Federated Learning
2020-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs
2020-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Di Sciascio, Eugenio; Merra, Felice Antonio
Assessing perceptual and recommendation mutation of adversarially-poisoned visual recommenders
2020-01-01 Anelli, Vito Walter; Di Noia, Tommaso; Malitesta, Daniele; Merra, Felice Antonio
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting
2020-01-01 Anelli, Vito Walter; De Leone, Renato; Di Noia, Tommaso; Lukasiewicz, Thomas; Rosati, Jessica
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario
2020-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Malitesta, Daniele
Knowledge-aware Interpretable Recommender Systems
2020-01-01 Anelli, Vito Walter; Bellini, Vito; Di Noia, Tommaso; Di Sciascio, Eugenio
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.
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
2021-01-01 Anelli, Vito Walter; Bellogin, Alejandro; Deldjoo, Yashar; Di Noia, Tommaso; Merra, Felice Antonio
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.
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders
2021-01-01 Anelli, V. W.; Deldjoo, Y.; Di Noia, T.; Merra, F. A.
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
FedeRank: User Controlled Feedback with Federated Recommender Systems
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Ferrara, Antonio; Narducci, Fedelucio
A flexible framework for evaluating user and item fairness in recommender systems
2021-01-01 Deldjoo, Yashar; Anelli, Vito Walter; Zamani, Hamed; Bellogin, Alejandro; Di Noia, Tommaso
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images
2021-01-01 Anelli, Vito Walter; Deldjoo, Yashar; Di Noia, Tommaso; Malitesta, Daniele; Merra, Felice Antonio
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