Spatio-Temporal Intelligent Recommendation Engine
Real System
Based on users’ historical interaction data, we use AI models to learn long-term and short-term preferences, recommend items that match their interest profiles, effectively solve the problem of information overload, and provide users with personalized decision support and information services.
Yijun Su
Researcher of Artificial Intelligence
My research interests include Spatio-Temporal AI, Federated Learning and Graph Machine Learning.