1. Multi-stage knowledge distillation for sequential recommendation with interest knowledge;Y Du;Information Sciences,2024
2. Graph neural networks with deep mutual learning for designing multi-modal recommendation systems;J Li;Information Sciences,2024
3. Learning to infer user implicit preference in conversational recommendation;C Hu;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval,2022
4. Dr-gat: Dynamic routing graph attention network for stock recommendation;Z Lei;Information Sciences,2024
5. Counterfactual user sequence synthesis augmented with continuous time dynamic preference modeling for sequential poi recommendation;L Qi;Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI)