A Customer Classification Based on Naive Bayes Classifier
基于朴素贝叶斯学习的电子商务网站客户兴趣分类的应用研究

With the increasing interest and emphasis on customer demands in e-commerce, it is highly desired to extract customer features effectively and analyze customer orientations. This paper presents a new approach that employs a modified naive hayes classifier to group users dynamically based on their web access. Such a customer clustering meth- od should be performed prior to internet stores as the basis to provide individual service. The experimental results of this clustering technique show the efficiency of the algorithm.