摘要
针对目前传统数字图书馆无法为用户提供准确个性的图书推荐服务的问题,提出构建基于数据挖掘技术的图书智能推荐系统,简单分析数据挖掘技术中关联规则技术适用图书推荐的原因和相关概念,并且对该系统的框架进行研究,最后通过实验,运用数据挖掘软件对真实的借阅记录进行关联规则挖掘,得出关联规则作为图书智能推荐系统的关键技术是行之有效的结论。
In view of the fact that at present the traditional library can not provide users with accurate and personalized book recommendation service, this paper proposes to construct a book intelligent recommendation system based on data mining technology. The reasons why the association rules in data mining technology apply to book recommendation and their related concepts are briefly analyzed. The framework of the system is studied. Finally, by ex- periment, the paper uses the data mining software to mine the association rules of the real checking-out record and concludes that it＇s effective to regard the association rules as the key technology of the book recommendation system.
出处
《情报理论与实践》
CSSCI
北大核心
2010年第5期107-110,共4页
Information Studies:Theory & Application
基金
教育部人文社会科学重点研究基地项目"基于智能信息处理的知识挖掘技术及应用研究"的成果之一
项目编号:08JJD870225
关键词
数据挖掘
关联规则
智能推荐
data mining
association rules
intelligent recommendation
