Recommendation System For Tourist Routes Using Fuzzy Logic In The Arequipa City

Abstract

Tourist in Arequipa city has been reduced due to the restrict of the pandemic, which has changed the habits of visitors who now seek information about the places they want to visit through technology. And also in some cases, they could visit many places, but they don’t have enough time. Then in this new society, a reinvention of the tourist experience is needed. For this, it is necessary to develop services that provide the opportunity to find an optimal automatic route that will permit maximizing and reinventing the tourist experience. For that reason, we have proposed a tourism recommendation system based on the ratings of places visited by other users, and the economic availability of the users is evaluated using fuzzy logic. If the quality of the service improves, the clients will feel satisfied with the tourism service. Finally, this research has presented successful results such as the generation of a route showing the order of places to visit optimizing the time and price. Also, a lot of users and tourism sales advisors can execute the system because it is easy to use, which is verified in the experiments.