关联规则在图书智能化推荐中的应用与实现  

On Application and Realization of Association Rules in Intelligent Recommendation of Books

作　　者：陈锦[1] 赖丽君[1] CHEN Jin;LAI Li-jun(Department of Information Technology,Quanzhou Vocational College of Economics and Business,Quanzhou 362000,Fujian,China)

机构地区：[1]泉州经贸职业技术学院信息技数系,福建泉州362000

出　　处：《兰州文理学院学报（自然科学版）》2020年第5期58-62,共5页Journal of Lanzhou University of Arts and Science(Natural Sciences)

基　　金：2018年和2019年福建省教育厅中青年教师教育科研项目(JZ180945,JAT191472)。

摘　　要：关联规则能够发现大量数据集中数据项之间的关联性.利用这一特点将关联规则算法应用在读者历史借阅记录上,可以挖掘读者借阅图书之间的关联性.本文研究了如何运用Apriori算法挖掘读者的历史借阅记录,最后基于J2EE框架实现了图书智能推荐系统中离线关联模块的功能.The relationships between data items in a large number of data sets can be discovered by association rules.Utilizing this feature to apply the association rule algorithm to the reader’s historical borrowing records,the association between readers’borrowed books can be tapped.In this article,how to use Apriori algorithm to mine the reader’s historical borrowing records was studied and the function of offline association module of book intelligent recommendation system based on J2 EE framework was realized.

关 键 词：数据挖掘 关联规则 APRIORI算法 图书智能推荐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]