多维关联规则推荐在商务站点中的应用

Implementation of Multidimensional Association Rules Recommendation in Commerce Web

提出了一种多维关联规则推荐系统,为客户提供更加准确的个性化推荐。该系统利用了客户购物信息、注册信息数据和经过评估的客户消费能力信息,通过多维、多层次的关联规则挖掘生成推荐集。针对不同的客户提供不同的商品,从而改善了个性化推荐的效果。

This paper presents a multidimensional association rules recommendation system which provides more exact personalization recommendation for customer. The system makes use of customer shopping information customer registered information and estimated information of customer consumption, to generate Recommendation set by multidimensional,multilevel association rules mining. The system provides distinct goods for another ,thus improves the effectiveness of personalization recommendation.