Extra-Tree Classification of Customer Review for Hotel Recommendation

The importance of hotel recommendation systems has grown with the tourist sector. In recent years, as online hotel booking systems have grown more commonplace, consumer evaluations have become an increasingly important informational resource for tourists. In this research, we offer a hotel recommendation system that uses machine learning methods to assess customer evaluations and provide tailored hotel suggestions. In order to forecast user preferences and propose hotels appropriately, the system employs machine learning algorithms to extract features from review text using TF-IDF processing methods. Travelers may benefit from the suggested extra tree-based method since it has the ability to provide more precise and tailored hotel suggestions.