Identificación de intereses turísticos de un usuario, analizando sus gustos y preferencias encontradas en publicaciones realizadas en Facebook.

Abstract

Recommendation systems are a tool that establishes a set of metrics and valuations on user data to make predictions on recommendations of elements that offer value and utility allowing to issue a personalized experience based on the tastes and preferences of the user. Currently, information and communication technologies have become a field that offers added value to the tourist, such as web pages, blogs, videos that cover the basic needs of the tourist, with the evolution of mobile devices has caused a change in which tourists interact and obtain information. The present work proposes a novel solution that consists of developing a system of recommendations in a mobile application based on Facebook posts that contains information about the tastes and positive preferences about sites visited by the user, and then analyze the interests discovered and as a result obtain a route with points of interest identified through the services of Google Maps.