食品科学2025，Vol.46Issue(6)：29-37,9.DOI:10.7506/spkx1002-6630-20240724-238
融合营养知识和偏好-健康多目标优化的膳食推荐
Dietary Recommendation Based on Multi-objective Optimization Integrating Nutritional Knowledge and Preference-Health Balance
摘要
Abstract
We proposed a dietary recommendation method based on multi-objective optimization integrating nutritional knowledge and preference-health balance.The method captured user preference through food nutrition knowledge embedding,and employed a multi-objective optimization algorithm to balance the dietary preference of users with their nutritional health needs.Personalized recipe recommendation was performed based on the nutrition-guided food knowledge-aware network(NG-FKN),followed by nutritional food combination recommendation(NFCR).The NG-FKN extracted relevant information from the food nutrition knowledge graph,providing guidance to capture user preferences in order to achieve personalized recommendations for nutritional recipes.NFCR optimized multiple objectives in preference and health using the non-dominated sorting genetic algorithm(NSGA)based on nutritional dominance.In addition,we constructed a food-user interaction dataset,which contained 19 669 recipes,and we assessed the proposed method on this dataset.We also introduced two indicators,China healthy diet index(CHDI)and food variety score(FVS),to evaluate the nutritional value of the recommended recipes.The experimental results on the proposed dataset showed that our method was superior to current popular methods,further improving the recommendation performance of dietary nutrition.关键词
膳食推荐/营养套餐/知识图谱/多目标优化/遗传算法Key words
dietary recommendation/nutritional meal/knowledge graph/multi-objective optimization/genetic algorithm分类
轻工业引用本文复制引用
金颖,闵巍庆,周鹏飞,梅舒欢,蒋树强..融合营养知识和偏好-健康多目标优化的膳食推荐[J].食品科学,2025,46(6):29-37,9.基金项目
国家杰出青年科学基金项目(62125207) （62125207）
国家自然科学基金面上项目(62072289) （62072289）
北京市自然科学基金项目(JQ24021) （JQ24021）
