Інформаційна система рекомендації та дистрибуції кавових продуктів на основі аналізу смакових профілів

Abstract

This paper presents an information system for the selection and sale of coffee products with a recommendation function based on sensory and flavor analysis. Users can filter coffee by grind type, flavor notes, cultivation altitude, and characteristics. The recommendation engine employs a content-based filtering approach that correlates coffee flavor profiles with compatible additives such as milk alternatives, syrups, toppings, and other ingredients. The system is designed as a web-based e-commerce platform providing a personalized shopping experience for specialty coffee consumers.