AI大模型赋能高校图书馆阅读推广理论框架与实践研究

• 作者： 张亮 ¹
• 作者单位：
  1.  辽宁师范大学图书馆
• 发布时间：2024-08-15

摘要: 随着人工智能技术的迅猛发展，AI大模型在高校图书馆的阅读推广工作中扮演着越来越关键的角色。AI大模型能够深度学习和挖掘用户阅读行为，为个性化阅读推荐提供强有力支持。本文针对AI大模型在高校图书馆中的应用现状进行深入探讨，分析其在提升图书馆服务质量和效率方面的现实意义。研究采用数据挖掘、用户行为分析等方法，深入研究了AI大模型的基本要素和数据处理流程，发现其能有效整合图书馆资源，实现精确推荐。同时，探讨了AI大模型在图书馆阅读推广的实施路径，包括模型训练、推荐算法优化和用户反馈机制构建。在对辽宁师范大学图书馆的实际案例进行应用测试后，结果表明，融合了AI大模型的阅读推广策略能显著提升学生的阅读兴趣和图书馆的利用率，该模型对于学生的留存率和满意度均有显著提升。为了确保研究的深度和科学性，本文深入剖析了AI大模型应用过程中面临的隐私保护和数据安全问题，并提出相应的解决方案。研究结果对于高校图书馆在数字时代背景下如何高效利用人工智能技术，推动阅读推广具有重要的借鉴和实践价值。

Abstract: With the rapid development of artificial intelligence technology, AI large models are playing an increasingly critical role in reading promotion in university libraries. AI large models are capable of deep learning and mining user reading behaviors, providing strong support for personalized reading recommendations. This study delves into the current application status of AI large models in university libraries, analyzing their real-world significance in enhancing library service quality and efficiency. Utilizing methods such as data mining and user behavior analysis, the research deeply investigates the fundamental elements and data processing workflows of AI large models, finding them to be effective in integrating library resource collections for precise recommendations. Moreover, the study explores the implementation pathways of AI large models in library reading promotion, which include model training, recommendation algorithm optimization, and the construction of user feedback mechanisms. After conducting application tests on an actual case study of a university library, the results show that reading promotion strategies infused with AI large models significantly increase student reading interest and library utilization rates. The model has also shown a considerable improvement in student retention rates and satisfaction. To ensure the depth and scientific rigor of the research, the paper thoroughly examines the challenges of privacy protection and data security faced in the application process of AI large models and proposes corresponding solutions. The findings of the research offer important insights and practical value for how university libraries can efficiently utilize artificial intelligence technology to promote reading in the digital age.

• 来自： 张亮
• 分类： 信息资源管理 >> 图书馆学
• 稿件状态： 未投稿
• 引用： PSSXiv:202408.01132 (或此版本 PSSXiv:202408.01132V1)
  DOI:10.12451/202408.01132
  CSTR:32012.36.PSSXiv.202408.01132
• 推荐引用方式： 张亮.AI大模型赋能高校图书馆阅读推广理论框架与实践研究.哲学社会科学预印本平台:https://zsyyb.cn/abs/202408.01132.[PSSXiv:202408.01132V1] (点此复制)