个性化新书通报推荐系统的设计与实现

Design and Implementation of New Books Noting Personalized Recommendation System Based on Circulation Logs

基于图书馆业务系统中的借阅日志,构建数据仓储,采用SPSS数据挖掘中的聚类分析方法,挖掘读者与新书之间的分类相关度模式,通过个性化新书通报分类结果集,推荐读者感兴趣的新书。以笔者所在高校图书馆MELINETSⅡ系统中的读者借阅日志为例,设计并实现个性化新书通报推荐系统。

Based on circulation logs of library automation systems, the paper builds a data warehouse using the method of cluster analysis in SPSS data mining tools, and mines the classification modes between readers and books. By the classi- fication result sets of new books personalized recommendations, new books are recommended to readers who are interested in. The paper also takes MELINETS II as an example, designs and achieves the application of the personalized recommen- dation system.