体育院校中智慧图书馆的个性化阅读推荐系统设计  

Personalized Reading Recommendations for Smart libraries in Sports Colleges Based on User Needs

作　　者：钱秋羽 毕梧琼[1] 王璐[1] QIAN Qiuyu;BI Wuqiong;WANG Lu(Library of Harbin Sport University,Harbin,Heilongjiang Province,150008 China)

机构地区：[1]哈尔滨体育学院图书馆,黑龙江哈尔滨150008

出　　处：《科技资讯》2024年第23期225-227,共3页Science & Technology Information

基　　金：2024年度黑龙江省图工委项目“体育院校智慧图书馆的构建与实现”(项目编号:2024-041-B)。

摘　　要：围绕体育学院智慧图书馆,针对用户的特定需求,构建并实施了个性化阅读推荐系统。综合考虑用户行为和深入分析图书馆资源,提出了一种融合协同过滤、内容筛选与深度学习技术的综合推荐策略,以增强用户体验并提升资源使用效率。实验结果显示,采用此推荐系统后,用户满意度提升了25%,并且图书馆资源的利用频次显著增长。According to the specific needs of users,a personalized reading recommendation system has been built and implemented around the smart library of sports college.Taking into account user behavior and deeply analyzes library resources,this article proposes a comprehensive recommendation strategy that integrates collaborative filter-ing,content filtering and Deep Learning technology to enhance user experience and improve resource utilization ef-ficiency.The experimental results show that after adopting this recommendation system,the user satisfaction has in-creased by more than 25%,and the utilization frequency of library resources has increased significantly.

关 键 词：智能图书馆 个性化推荐 用户行为分析 协同筛选 深度学习技术 

分 类 号：G25[文化科学—图书馆学]