面向用户兴趣模型的数字图书馆个性化推荐技术应用研究  

Research on the application of personalized recommendation technology for digital library for user interest model

作　　者：唐静[1] Tang Jing(Hunan Library,Changsha 410011,China)

机构地区：[1]湖南图书馆,湖南长沙410011

出　　处：《无线互联科技》2023年第1期93-96,共4页Wireless Internet Technology

摘　　要：传统图书馆的服务模式由于数字图书馆的出现而改变,许多技术层面和智能设施亟需革新。基于此,文章构建了一个由图书借阅行为和读者浏览行为相结合而产生的用户兴趣度模型,根据模型中用户兴趣矩阵值的大小向读者推荐符合其兴趣偏好的图书,推荐系统的个性化特征极大地提升了读者对数字图书馆服务的满意度,实现了数据挖掘技术与图书馆个性化服务的结合。The service mode of traditional library has changed due to the emergence of digital library,and many technical levels and intelligent facilities are in urgent need of innovation.Based on this,the article builds a book borrowing behavior and reader browsing behavior combining the user interest model,according to the size of the user interest matrix value to the book,the personalized characteristics of recommendation system greatly improved the reader satisfaction with digital library service,realize the combination of data mining technology and library personalized service.

关 键 词：用户兴趣模型 数字图书馆 个性化推荐 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]