Construction of Support System for Demand Driven Design of Cocktail Recipes by Deep Learning

Abstract

Cooking recipes have become available by various ways. However, there are not always recipes that can satisfy any request. In order to reliably provide recipes that can meet his or her needs, it is necessary to newly produce recipes that meet requirements as needed. In addition, a support system is necessary for people who do not have much knowledge to easily devise their favorite recipe. We propose a decision support system for demand driven design of cocktail recipes, that is systemized using Deep Learning due to diversity of ingredients and combinations, differences in taste, etc.