Recommender System of China Beijing International Fair for Trade in Services
Real System
Integrating the user’s collection and click behavior data, we build a recommendation engine that bases multi-model integration including collaborative filtering and strategy. It not only brings users a good experience but also improves the distribution efficiency of items.
Yijun Su
AI Research Scientist at JD.com
My research interests include Large Language Model & Agent, Spatio-Temporal AI, Federated Learning and Graph Machine Learning.