Recommendation Engine using AI Integrated for Tourism Web Application

Abstract

Abstract—A system that is used to suggest products, services, or any other information to users or potential clients with the use of an analysis of data can be given as the generic definition for a recommendation system. In this system, the recommendation can be derived either from analyzing the history of the person who is going to get the recommendation or analyzing the behavior of similar users. This paper, introduce the recommendation system that enhance user experience in the tourism website. Moreover, the data exploration and preparation has been explained. Besides, paper introduce data preprocessing machine learning model and the ML classifier. Then, the recommendation engine using AI integrated for tourism web application has been explained. As a result the model achieve accuracy 50.93%.