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.%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。
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