Culinary recommendation application based on user preferences using fuzzy topsis

Culinary tourism is the experience of finding and enjoying unique and impressive food and drinks in a new region. Each region has a unique food flavor and can be the right choice for culinary tourists who want to try new experiences regarding taste. Differences in tourist preferences in choosing culinary regions sometimes become obstacles in finding a suitable place. Price, distance, facilities, menu variations, and halalness are some of the things that tourists consider in choosing culinary locations. Therefore, it is essential to accommodate tourist preferences to produce appropriate recommendations because the characteristics of tourists in determining their favorite culinary places are very subjective and varied. This study aims to develop a culinary recommendation system based on user preferences using Fuzzy TOPSIS as a recommendation method. Ten criteria can be selected, and their weight value determined by the user. The final result of the recommendation system is an alternative culinary location ranking and map location, along with detailed culinary location information. Result evaluation shows that the system is suitable and useful for users. This study proposes some new criteria that have not been used in other research