摘要
文章立足高校智慧图书馆用户画像数据管理存在的问题,分析生成式人工智能在高校智慧图书馆用户画像数据管理中的作用,并从用户画像数据采集、处理、存储与安防4个方面提出相应改进策略,即利用生成式人工智能的深度学习技术一体化采集用户画像数据,借助生成式人工智能的自然语言处理技术系统化挖掘用户画像数据,凭借生成式人工智能的神经网络数据存储技术集成化存储用户画像数据,依托生成式人工智能的生成对抗网络技术提升用户画像数据安全性。
The article is based on the problems existing in the user profile data management in university smart library,and analyses the role of generative artificial intelligence in the user profile data management in university smart library.Corresponding improvement strategies are proposed from four aspects:user profile data collection,processing,storage,and security,namely,using the deep learning technology of generative artificial intelligence to integrated collect user profile data,utilizing the natural language processing technology of generative artificial intelligence to systematically mine user profile data,depending on the neural network data storage technology of generative artificial intelligence to integrate the storage of user profile data,and relying on the generative adversarial network technology of generative artificial intelligence to enhance the security of user profile data.
出处
《图书馆工作与研究》
北大核心
2025年第7期31-39,共9页
Library Work and Study
关键词
高校智慧图书馆
生成式人工智能
用户画像数据
数据管理
University smart library
Generative artificial intelligence
User profile data
Data management
