新疆医科大学的健康饮食智慧平台构建与实现
Research on the Construction and Implementation of a Healthy Diet Intelligent Platform for Xinjiang Medical University

目的：设计与实现一个面向新疆医科大学师生的健康饮食智慧平台，以解决校园饮食服务中存在的系统性、智能化不足问题，促进饮食健康与文化交流。方法：采用文献研究法与系统分析法进行需求分析；运用Spring Boot后端框架、JavaScript前端技术及MySQL数据库进行系统开发；集成协同过滤与基于内容的推荐算法，并创新性地引入文化感知层以提供符合多民族背景的个性化服务；通过功能测试、性能测试、文化推荐对比实验及用户试用验证平台效果。结果：成功构建了一个具备饮食记录、智能推荐、社区互动、多维度管理等功能的一体化平台。测试结果表明，平台运行稳定，核心功能响应时间低于500 ms。文化感知推荐算法在模拟实验中，其文化契合度评分相较于基线算法提升约23.5%。用户试用反馈显示，92%的用户认为平台界面友好，88%的用户认可推荐结果的文化适宜性。结论：本研究实现的健康饮食智慧平台功能完备、运行高效，其创新的文化感知推荐机制能有效满足多民族师生的多样化饮食需求，为高校饮食服务的数字化、智能化及文化适配转型提供了可行的技术方案与实践参考。
Objective: To design and implement a healthy diet intelligent platform for teachers and students of Xinjiang Medical University, addressing the lack of systematic and intelligent services in campus dining, and promoting dietary health and cultural exchange. Methods: Demand analysis was conducted using literature research and system analysis methods. The system was developed using the Spring Boot backend framework, JavaScript frontend technology, and MySQL database. Collaborative filtering and content-based recommendation algorithms were integrated, with an innovative cultural-awareness layer added to provide personalized services aligned with multi-ethnic backgrounds. The platform’s effectiveness was validated through functional testing, performance testing, cultural recommendation comparison experiments, and user trials. Results: An integrated platform with functions including dietary recording, intelligent recommendation, community interaction, and multi-dimensional management was successfully built. Test results indicated stable platform operation, with core function response times under 500 ms. The cultural-aware recommendation algorithm improved cultural relevance scores by approximately 23.5% compared to the baseline algorithm in simulated experiments. User trial feedback showed that 92% of users found the platform interface friendly, and 88% of users recognized the cultural appropriateness of recommendations. Conclusion: The healthy diet intelligent platform implemented in this study is fully functional and efficient. Its innovative cultural-aware recommendation mechanism effectively meets the diverse dietary needs of multi-ethnic teachers and students, providing a feasible technical solution and practical reference for the digital, intelligent, and culturally adaptive transformation of university dietary services.