Recommendation System for Alternative-Ingredients Based on Co-occurrence Relation on Recipe Database and the Ingredient Category
Naoki Shino, Ryosuke Yamanishi, Junichi Fukumoto · 2016
Many people often cook a dish with a cooking recipe on Websites and magazines. The listed ingredients in the recipe sometimes can not be prepared. This paper proposes a recommendation system for alternative ingredients. The recommendation ingredients based on co-occurrence frequency of ingredients on recipe database and ingredient category stored in a cooking ontology. The result of the subjective evaluation experiments showed 88% appropriateness for alternative-ingredients recommendation.