Implementation of Key Technologies for a Healthy Food Culture Recommendation System Using Internet of Things

Abstract

With the development of catering culture, the types of diets are changing with each passing day. The types of food are becoming more and more abundant, and the concept of healthy eating has become more and more prominent in people’s thinking. The development of Internet of Things technology enables people to live a variety of information in the network, and the amount of information increases sharply. With the development of the Internet of Things, the number of online recipes has increased significantly, and a number of choices are now available to people to find suitable recipes. It is still troublesome for people to select the menu of three meals on daily basis. In recent years, many people have long-term unhealthy eating habits, which has greatly increased the incidence of some diseases. Therefore, a balanced diet is very important for good health. This paper builds a fusion of healthy eating culture with the help of Internet of Things, deep learning, and other related technologies. A more practical healthy diet recommendation system is built, which aims to help people find diet recipes that conform to their personal eating preferences and habits and their health status. Experimental results show that the healthy food culture recommendation system constructed in this paper can more accurately recommend suitable healthy food recipes for individuals and promote people’s health. And the launched recipes can ensure nutrition and meet individual taste preferences, which has great practical significance.