24 citations · 45 across the 2 of their papers we have counts for
7 papers
Link recommendations: Their impact on network structure and minorities
Antonio Ferrara, Lisette Espín-Noboa, Fariba Karimi +1
Network-based people recommendation algorithms are widely employed on the Web to suggest new connections in social media or professional platforms. While such recommendations bring…
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio +2
Deep Learning and factorization-based collaborative filtering recommendation models have undoubtedly dominated the scene of recommender systems in recent years. However, despite th…
Elliot: a Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara +5
Recommender Systems have shown to be an effective way to alleviate the over-choice problem and provide accurate and tailored recommendations. However, the impressive number of prop…
FedeRank: User Controlled Feedback with Federated Recommender Systems
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +2
Recommender systems have shown to be a successful representative of how data availability can ease our everyday digital life. However, data privacy is one of the most prominent con…
How to Put Users in Control of their Data in Federated Top-N Recommendation with Learning to Rank
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +2
Recommendation services are extensively adopted in several user-centered applications as a tool to alleviate the information overload problem and help users in orienteering in a va…
Prioritized Multi-Criteria Federated Learning
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +1
In Machine Learning scenarios, privacy is a crucial concern when models have to be trained with private data coming from users of a service, such as a recommender system, a locatio…