117 citations · 658 across the 80 of their papers we have counts for
7 papers · 1 filter
Conversational Recommendation: Theoretical Model and Complexity Analysis
Tommaso Di Noia, Francesco Donini, Dietmar Jannach +2
Recommender systems are software applications that help users find items of interest in situations of information overload in a personalized way, using knowledge about the needs an…
Adherence and Constancy in LIME-RS Explanations for Recommendation
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia +3
Explainable Recommendation has attracted a lot of attention due to a renewed interest in explainable artificial intelligence. In particular, post-hoc approaches have proved to be t…
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…
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +1
Recommender systems (RSs) employ user-item feedback, e.g., ratings, to match customers to personalized lists of products. Approaches to top-k recommendation mainly rely on Learning…
Reenvisioning Collaborative Filtering vs Matrix Factorization
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia +1
Collaborative filtering models based on matrix factorization and learned similarities using Artificial Neural Networks (ANNs) have gained significant attention in recent years. Thi…
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…