Eclectic System of Information Filtering in Computational Intelligence for the Recommendation of Tourist Attraction

Abstract

Recommendation systems can be considered a great help for people to select the best topic that is available. This type of systems has already been used in different contexts for the selection of music and films, but it has been taken into account in its usefulness in the field of tourist attractions. In this project, an eclectic system of filtering information for tourism in the Province of Santa Elena is presented. The detailed solution in this project suggests tourist places to a user based on their preferences and personal tastes, also takes into consideration the ratings.