Feng Xue

RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding

2020 · arXiv (Cornell University)

Graph Convolution Network (GCN) has attracted significant attention and become the most popular method for learning graph representations. In recent years, many efforts have been focused on integrating GCN into the recommender tasks and have …

REDGCN: Rating-Oriented Explicit Disentangling Graph Convolution Network for Review-Aware Recommendation

2024 · IEEE Transactions on Computational Social Systems

Rating prediction is a challenging task in review-aware recommendation. Although current methods effectively combine collaborative signals with review data, they fail to differentiate user preferences across various ratings and overlook the independence between these ratings. …

Deep Item-based Collaborative Filtering for Top-N Recommendation

2019 · ACM Transactions on Information Systems

Item-based Collaborative Filtering (ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online personalization. By constructing a user’s profile with the items that …