基于人工智能的图书馆数字化资源推荐系统设计  

Design of Library Digital Resource Recommendation System Based on Artificial Intelligence

作　　者：孔庆月[1] KONG Qingyue(Yifu Library,Xuzhou University of Technology,Xuzhou Jiangsu 221018,China)

机构地区：[1]徐州工程学院逸夫图书馆,江苏徐州221018

出　　处：《信息与电脑》2024年第23期164-166,共3页Information & Computer

基　　金：2024年度徐州市社会科学基金结项项目“徐州乡村振兴与城乡融合发展路径研究”(项目编号:24XSM-153)。

摘　　要：为了提高图书馆数字化资源推荐的智能化水平,文章设计了一种基于人工智能的推荐系统。首先,文章对图书馆数字化资源推荐系统进行了需求分析;接着,对系统进行了总体架构设计、数据采集与预处理设计、推荐算法设计、用户界面与交互设计。系统采用了协同过滤、内容推荐与混合推荐算法,结合深度学习模型和多维度数据处理技术,可对用户行为和资源特征进行深入分析。研究表明,该系统在推荐准确性和响应效率方面表现优异,能够有效满足用户个性化需求,为现代图书馆信息服务的创新提供了技术支持。In order to improve the intelligent level of library digital resource recommendation,the article designs a recommendation system based on artificial intelligence.Firstly,the article analyzes the requirements of the library digital resource recommendation system;then,the overall architecture design,data acquisition and preprocessing design,recommendation algorithm design,user interface and interaction design are carried out.The system adopts collaborative filtering,content recommendation and hybrid recommendation algorithms,combined with deep learning models and multidimensional data processing technology,which can deeply analyze user behavior and resource characteristics.The study shows that the system performs well in recommendation accuracy and response efficiency,can effectively meet users’personalized needs,and provides technical support for the innovation of modern library information services.

关 键 词：人工智能 图书馆 数字化资源 

分 类 号：G258.6[文化科学—图书馆学]