摘要
以读者的借阅记录数据为基础,运用SPSS数据挖掘工具进行聚类分析,挖掘出与读者专业相关的图书类别。通过设计个性化新书推荐系统,将读者的个性化专业图书与入馆新书进行关联与匹配,生成个性化的新书书目,以邮件方式推荐给读者。
Based on the readers＇ borrowing history data, this paper excavated the book categories related to the readers＇ majors through using the method of cluster analysis in SPSS data mining tool, and designed the personalized new books recommendation system to associate and match the readers＇ professional book preference with new books, and produce the personalized new book categories and recommend to the readers by email.
作者
谢发徽
XIE Fahui(Minnan Normal University, Fujian Zhangzhou 363000, Chin)
出处
《农业图书情报学刊》
2017年第7期52-56,共5页
Journal of Library and Information Sciences in Agriculture
关键词
个性化
数据挖掘
聚类
推荐
personality
data mining
cluster
recommendation
