摘要
建构一个可以挖掘出关联特质的自动化推荐系统改进ART算法——MART算法.MART算法在推荐系统特性基础上,实现聚类和判断用户属性的重要性,使推荐系统可以设置每一个属性节点的权重,实现用户的分组,进而达到数据挖掘的目的.
MART algorithm—an improved ART algorithm for automatic recommendation system was put forward for mining related characteristics.Based on the recommendation of system characteristics,clustering and the identification of user property were realized.This enables weight setting for each property node,as well as user grouping,thus achieving data mining.
作者
刘福刚
LIU Fugang(The Department of Computer,Huainan Union University,Huainan 232001,China)
出处
《牡丹江师范学院学报（自然科学版）》
2019年第4期13-14,共2页
Journal of Mudanjiang Normal University：Natural Sciences Edition
基金
安徽省高校自然科学基金项目(KJ2014A061)
关键词
数据挖掘
自动化推荐系统
ART算法
data mining
automatic recommendation system
ART algorithm
