%0 Journal Article
%T Application of Artificial Immune to Recommendation of Electronic Commerce<br>人工免疫在电子商务推荐中的应用
%A REN Xue-Li
%A DAI Yu-Biao
%A <br>任雪利
%A 代余彪
%J 计算机系统应用
%D 2011
%I 
%X The rapid development of Internet makes it more serious the overloading phenomenon of information in electronic commerce. How to find goods required quickly and accurately from the commodity information is a problem that needs to solve. Recommendation personalized offers a solution to the problem. In order to achieve an accurate recommendation, this paper presents the use of artificial immune clustering technology to the user, and then to recommend using collaborative filtering. It shows that the accuracy rate can reach 80% in the experiment.
%K artificial immunity
%K collaborative filtering
%K affinity<br>人工免疫
%K 协同过滤
%K 亲和力
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=0607A2111353AA72E329F8BE5C3A27B6&yid=9377ED8094509821&vid=A04140E723CB732E&iid=38B194292C032A66&sid=50BBDFAC8381694B&eid=847B14427F4BF76A&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=5