现代信息科技2024，Vol.8Issue(17)：94-99,6.DOI:10.19850/j.cnki.2096-4706.2024.17.018
基于AIGC的营养配餐推荐系统研究
Research on Nutritional Meal Recommendation System Based on AIGC
摘要
Abstract
This paper proposes a nutrition meal recommendation system based on Artificial Intelligence Generated Content(AIGC),which combines the Qwen large language model and LORA technology for fine-tuning to achieve more accurate nutrition advice and meal recommendations.By constructing a rich knowledge base of nutrition information and recipe data,and utilizing vector databases for efficient retrieval,the system can quickly respond to user queries and provide personalized meal plans.Experimental results demonstrate that the system outperforms traditional methods in recommendation accuracy and user experience.The contribution of this research lies in proposing a new method for nutrition meal recommendations and validating its effectiveness through experiments.关键词
人工智能生成内容/营养配餐推荐系统/大语言模型/微调技术/向量数据库Key words
AIGC/nutrition meal recommendation system/large language model/fine-tuning technology/vector database分类
信息技术与安全科学引用本文复制引用
陈钻凯,王志林,朱润键,曾沛乐..基于AIGC的营养配餐推荐系统研究[J].现代信息科技,2024,8(17):94-99,6.基金项目
国家级大学生创新创业训练计划项目(DCXM2023042) （DCXM2023042）
