A recommendation system for culinary tourists in Jogjakarta based on collaborative filtering

Abstract

Jogjakarta is a tourist destination in Asia that earned the never-ending Asia. Until now culinary data is scattered everywhere so easily and quickly can be found with the help of internet. This results in uncertainty about the accuracy of information received by travelers. Therefore, a recommendation system is needed to make it easier for tourists to get the appropriate information. Collaborative Filtering is a widely used recommendation method because it has been shown to provide good results from previous studies. User-based collaborative filtering methods are used for cases with one criterion, but this developed recommendation system uses multicriteria for user data ranking to obtain appropriate recommendation results.