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作 者:吴鑫[1] 王伟业 WU Xin;WANG Weiye(Office of Smart Campus Construction and Management,Nanjing Audit University,Nanjing 211815,China)
机构地区:[1]南京审计大学智慧校园建设管理处,江苏南京211815
出 处:《通信学报》2024年第S2期262-269,共8页Journal on Communications
摘 要:以南京审计大学为例,研究了基于AI的服务平台在提升高校服务平台效率与质量,提高了师生满意度方面的应用,旨在解决现有服务渠道存在的效率低下、回复不精准等问题。平台分为资料采集、数据处理、用户交互3个业务层。基于RAG框架,构建搜索和生成模块,在本地知识库的基础上,构建了多入口,实现全年无休的实时在线服务。结果表明,该平台显著提高了师生满意度,有效解决了服务难题,促进了师生互动。Take Nanjing Audit University as an example to investigate the application of an AI-based service platform in enhancing the efficiency and quality of university service platforms and improving the satisfaction of teachers and students.The research aims to address issues such as inefficiency and inaccurate responses in existing service channels.The platform was divided into three layers,data collection,data processing,and user interaction.Based on the RAG framework,search and generation modules were constructed,and multiple entry points were established on the basis of a local knowledge base to provide real-time online services around the clock.The results indicate that the platform significantly improves the satisfaction of teachers and students,effectively resolves service challenges,and promotes teacher-student interaction.
分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]
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