A Knowledge-based Framework for Development of Personalized Food Recommender System

The personalized food recommender system aims to assist the users in daily diet selections based on some nutrition guidelines. This paper describes a food ontology and recommender system development using a knowledge-based framework. The main components of the system are user personal profiles, food and nutrition database and knowledge base. The developed food and nutrition ontology is integrated with rule-based knowledge in providing food recommendations based on the user’s nutrition requirements as well as food preference.

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