Optimization Framework for Flavour and Nutrition Balanced Recipe: A Data Driven Approach

Food has been playing a major part of human civilization as not only being a physiological need, but being a major factor for defining the culture and society. The choice of the food is mainly depended on both flavour and nutrient but the biasness towards to the flavour factor has lead the human to effect badly on their healthier lifestyle. Recipe recommendation literature typically considers either flavour or nutrient factor. Various flavour traits are also preventing the promotion of healthy foods while maintaining the palatability. Our data driven flavour and nutrient optimization framework consists of classification model which achieved 79.546 % prediction accuracy when detecting the cuisine, generalized flavour recommendation approach and personalized nutrient recommendation approach when deciding the optimization task.