Tiantian Liang

Multi-Graph Co-Training for Capturing User Intent in Session-based Recommendation

Session-based recommendation focuses on predicting the next item a user will interact with based on sequences of anonymous user sessions. A significant challenge in this field is data sparsity due to the typically short-term interactions. Most existing methods rely heavily on users’ current interact…