关联规则应用下的高校图书馆图书推荐服务

Book Recommendation Service in University Library under the Application of Association Rules

文章从某高校图书馆图书借阅管理系统抽取1200名2011级本科生的4年图书借阅日志数据,利用多维属性间关联规则数据挖掘技术,对不同专业用户群体4年图书借阅数据进行分析。通过不同专业用户群体在不同年级时的图书关联规则分布情况,探索有效和有针对性的图书推荐服务策略,提升图书馆服务能力。

This paper extracts the four-year log data concerning the library loan history of1200undergraduates admitted in2011at one university.Using the data mining technology of association rules between multidimensional attributes,it analyzes the data from different majors.With a description of the book-based associations of different majors in different grades,the authors attempt to explore the effective and targeted strategies for book recommendation service so as to enhance the service capabilities of library.