Personalized recommendation of tourism points of interest using classification-based machine learning
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 POI category by leve...