Construction of Food Nutrition Knowledge Map and Study on Personalized Diet Recommendation System
The combination of food nutrition knowledge graph and personalized dietary recommendation system is an important direction of current healthy diet research.With the help of building a food nutrition knowledge graph,the nutrients in food and their health benefits are sorted out and studied,and machine learning and other technologies are used to create a personalized meal recommendation system.According to the user's health status and dietary preferences,professional dietary guidance is provided to enhance the user's nutritional intake and health management level.This paper introduces in detail the construction steps of food nutrition knowledge graph and the design of personalized dietary recommendation system to achieve accurate and personalized dietary recommendations.