%0 Journal Article
%T A Customer Classification Based on Naive Bayes Classifier<br>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
%A PAN Zhi-Fang
%A <br>潘志方
%J 计算机科学
%D 2007
%I 
%X 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.
%K E-commerce
%K Customer classification
%K Naive Bayes<br>朴素贝叶斯分类器
%K 电子商务
%K 用户分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=3859BC98CB75C53692FA3E0042ED49BB&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=B31275AF3241DB2D&sid=797D49279EA93BC4&eid=1B64850025D0BBBE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=3