Semantics-Driven ingredient substitution in the foodKG ?

Abstract

People who would like to improve their eating patterns can make small changes in their diet by substituting ingredients in recipes. "Good" substitutions may have multiple dimensions and definitions, and one definition is to maintain the recipe while adhering to constraints that may include personal preferences, allergies, and nutritional or other dietary considerations. Our proposed system automatically finds and ranks plausible substitution options using a knowledge graph of food information. We evaluate our substitute ranking heuristic using a novel data set of ground-truth substitutions, showing promising preliminary results.