Open AccessRETRACTED: Research on Personalized Healthy Diet Recommendation Based on Artificial Intelligence
Author(s) -
Xiaoxuan Tang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1852/2/022085
Subject(s) - apriori algorithm , association rule learning , computer science , order (exchange) , the internet , service (business) , recommender system , data mining , a priori and a posteriori , machine learning , world wide web , business , marketing , finance , philosophy , epistemology
With the development of the Internet, China’s good data mining technology in e-commerce has achieved development, and the recommendation service has gradually become popular and has been adopted by the majority of citizens. In order to facilitate people to quickly find what they need from a large number of commodities and save consumers’ time, the recommendation system pays more and more attention to the user experience. This paper constructs a healthy diet recommendation model based on improved Apriori. When judging the user’s dietary preferences, the improved Apriori algorithm is used to recommend the diet. The original algorithm and the improved algorithm are compared to the same example. The results show that the improved algorithm has advantages in mining association rules and can better realize personalized healthy diet recommendations.