Personalized recommendation of tourism points of interest using classification-based machine learning
Le Van Hoa*+ Trung Duc Pham+ Thi Thuy Van Nguyen+ Duong Thien Nguyen+ Van Hoa Le+ Abstract This study proposes a two-stage personalized recommendation framework for tourism Points of Interest (POIs) based on classification techniques. Unlike conventional approaches that require detailed user–item rating matrices or fine-grained POI-level data, our model predicts each user’s most suitable


