Xiang Lin

Disentangling Multi Behaviors for Recommendation Based on Graph Contrastive Learning

Recommendation systems play a crucial role in efficiently filtering vast amounts of information, and supporting businesses across various domains such as e-commerce, social media, and online entertainment. Traditional recommendation methods, including collaborative filtering, often suffer from data sparsity issues, lim...