浅谈数据挖掘技术在高校图书馆个性化推荐系统中的应用

摘要

Using Clementine data mining software that combines data mining theoretical knowledge, a university library loan re-cords implementation of association rule mining, excavation and analysis of the results summarized. Library personalized recom-mendation system has analyzed and summarized data support, according to every reader will be able to achieve the request, to pro-vide personalized book recommendation.%该文利用Clementine数据挖掘软件，结合数据挖掘理论知识，对某高校的图书馆借阅记录实施关联规则挖掘，并对挖掘结果进行分析归纳。高校图书馆个性化推荐系统有了分析归纳数据的支撑，就能实现根据每一位读者提出的要求，提供个性化的图书推荐服务。