Flavour Enhanced Food Recommendation
This is an incremental approach for users seeking personalized food recommendations, with potential future integration for health benefits.
The paper tackles the problem of improving food recommendations by incorporating flavor features based on gustatory nerves, resulting in a system that suggests food items users are more likely to enjoy by matching their flavor profiles.
We propose a mechanism to use the features of flavour to enhance the quality of food recommendations. An empirical method to determine the flavour of food is incorporated into a recommendation engine based on major gustatory nerves. Such a system has advantages of suggesting food items that the user is more likely to enjoy based upon matching with their flavour profile through use of the taste biological domain knowledge. This preliminary intends to spark more robust mechanisms by which flavour of food is taken into consideration as a major feature set into food recommendation systems. Our long term vision is to integrate this with health factors to recommend healthy and tasty food to users to enhance quality of life.