摘要
在一个大型购物网站的数据库中,各个数据的属性之间存在着各种各样的关联,这些关联就隐含在数据库所包含的数据中,我们挖掘的目的就是找出这些隐藏的关联。模糊关联规则挖掘是数据挖掘技术的一个重要研究方向,也在众多应用领域中取得了理想的效果。向用户进行个性化的产品推荐是网站常用的吸引用户关注度的方法。研究模糊关联规则在推荐系统中的应用。
In the database of a large shopping site, there are various associations between the attributes of data,which is implict in the database. The aim is to find these hidden associations. Personalized product recommendation to users is a common way to attract users＇attention. In this paper, the application of fuzzy association rules in the recommendation system is studied.
出处
《技术与市场》
2016年第5期136-137,共2页
Technology and Market
关键词
数据挖掘
模糊关联规则
个性化推荐
data mining
fuzzy association rules mining
personalized recommendation
