Where Should We Go? Place Recommendations Using TMAP Navigation Data

Learn about location recommendation services powered by TMAP's navigation data in this 19-minute conference talk from SK AI SUMMIT 2024. Discover how TMAP, Korea's leading navigation service, leverages its massive driving data to define travel patterns and create personalized recommendations. Explore the implementation of graph-based deep learning methods for modeling driving data, understand the MLOps pipeline for service deployment, and examine how Large Language Models (LLM) are being integrated to enhance personalization capabilities. Gain insights from Kyumin Lee of TMAP Mobility as he shares his experiences in developing AI/ML-driven recommendation systems and the continuous efforts to improve user experience through innovative data utilization.