Design and Implementation of a Hotel Recommendation System Using Deep Learning

Abstract

Accurate hotel recommendations play a crucial role in enhancing the overall travel experience. In recent years, recommendation systems have gained significant popularity in the tourism industry. These systems use various techniques and algorithms to analyze user preferences and provide personalized hotel recommendations. One of the emerging methods in recommendation systems is deep learning, a branch of machine learning that focuses on training neural networks with multiple layers to make accurate predictions or classifications. Deep learning algorithms have shown great success in various domains such as image processing and natural language processing. This chapter aims to propose a hotel recommendation system that utilizes deep learning techniques for analyzing user preferences and providing personalized recommendations. The proposed hotel recommendation system will leverage user reviews and hotel descriptions to extract meaningful features and train a deep learning model.