摘要
Internet的迅速发展使得电子商务中信息超载现象越发严重,如何从商品信息的海洋中快速准确的挑选出需要的商品已成为电子商务网站急需解决的问题,个性化推荐为解决该问题提供了可能。为了实现准确的推荐,本文提出了使用人工免疫技术对用户进行聚类,然后采用协同过滤技术进行推荐,结果表明,准确率可以达到80%以上。
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.
出处
《计算机系统应用》
2011年第3期186-188,共3页
Computer Systems & Applications
基金
曲靖师范学院基金(2008QN007)
云南省教育厅研究课题(09C0188)
关键词
人工免疫
协同过滤
亲和力
artificial immunity
collaborative filtering
affinity
