Sistema de recomendación de destinos turísticos de la ciudad de Loja

Abstract

Abstract: The purpose of this research project is to improve the tourist experience of visitors to the Loja canton. To this end, a remarkable tourist site recommendation system is implemented by integrating the use of artificial intelligence. The recommendation system uses machine learning models trained with data obtained through surveys conducted with visitors. This data allows the personalization of tourist site recommendations according to the individual preferences of users, thus improving the tourist experience in the canton. From the results of experimentation with machine learning algorithms KNN, SVD, and Deep Learning, it was determined that the SVD and Deep Learning algorithms show better performance with high accuracy in the quality of recommendations using conventional metrics such as Precision and Recall.