Abstract
Ontology-based Daily Menu Recommendation System for Complementary Food According to Nutritional Needs using Naïve Bayes and TOPSIS
Highlights
Even though food is a basic necessity of human life, deciding what kind of food to be eaten is sometimes not easy
An example of works that focus on this domain is [10]. It presents a daily menu set resulting from implementing Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) by considering carbohydrates, protein, and fat as criteria. Some researches in this domain utilize ontology as the knowledge base of complementary food, such as [8],[11],[10]
The data used in this study are food material data obtained from the Food Composition List issued by the Ministry of Health (2005) and food recipes that already exist in ontology [11]
Summary
Even though food is a basic necessity of human life, deciding what kind of food to be eaten is sometimes not easy. An example of works that focus on this domain is [10] It presents a daily menu set resulting from implementing Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) by considering carbohydrates, protein, and fat as criteria. Some researches in this domain utilize ontology as the knowledge base of complementary food, such as [8],[11],[10]. In the present work, we propose a recommendation system at the top of the complementary food ontology, as its knowledge-based, by considering the balance of carbohydrates, proteins, and fats, and based on the user's past preference for food with the implementation of the Naïve Bayes method and TOPSIS. We conclude with the conclusion and future work in the last section
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