摘要
针对高校图书馆藏书量大且以专业书籍为主的特点,设计一个基于高校图书馆面向学生的图书推荐系统。应用数据挖掘技术和统计学原理对高校图书馆纸质图书日志记录进行分析,实现向不同专业推送不同的新书,以及按照专业和年级给学生推荐图书馆已有图书作为学习的参考书。该系统不仅为学生查找参考书节约了时间,更为学生课余学习提供指导,也进一步提高图书利用率、提升图书馆服务水平。
As the characteristics of large quantity collection and majority of professional books ,a book-recommending system in university library for students has been designed .The paper applies data mining technique and statistical principles to analyze log records of paper books in university library .The system has two key features ：to push different new books for different majors , and to recommend the books in the library to students as a learning reference in accordance with professional and grades .The system not only saves the time for students to find reference book ,and provides learning guidance for students after school ,but also further improves the utilization of books and enhances the level of library services .
出处
《皖西学院学报》
2014年第4期149-152,共4页
Journal of West Anhui University
基金
全国大学生创新创业训练项目(201310363113)
安徽省大学生创新创业训练项目(AH201310363113)
关键词
高校图书馆
推荐系统
协同过滤
数据挖掘
university library
recommendation system
collaboration filtering
data mining
