← authors · overview

• How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
  2019 · 36 citations
• A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks
  2020 · 28 citations
• Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
  2024 · 12 citations
• Recommender Systems Fairness Evaluation via Generalized Cross Entropy
  2019 · 10 citations
• On Popularity Bias of Multimodal-aware Recommender Systems: a Modalities-driven Analysis
  2023 · 10 citations
• Evaluating ChatGPT as a Recommender System: A Rigorous Approach
  2023 · 8 citations
• Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation
  2023 · 3 citations
• Computing recommendations via a Knowledge Graph-aware Autoencoder
  2018 · 2 citations
• Multi-Step Adversarial Perturbations on Recommender Systems Embeddings