Claudio Pomo

Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation

2023 · arXiv (Cornell University)

Graph neural networks (GNNs) have gained prominence in recommendation systems in recent years. By representing the user-item matrix as a bipartite and undirected graph, GNNs have demonstrated their potential to capture short- and long-distance user-item …

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

2021

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 proposed recommendation algorithms, splitting strategies, evaluation protocols, metrics, and tasks, …