一种电子商务站点个性化方法

An Approach of Personalization for Electronic Commerce Website

电子商务站点个性化建设所采用的一种重要方法就是通过站点使用挖掘得到用户的兴趣和爱好,并以此进行个性化推荐.本文针对这种方法的局限性,提出了一种新的个性化方法,即:在数据预处理的基础上实现基于站点使用和站点内容的交易事务聚类,然后导出站点的使用文档和内容文档,在此基础上结合当前用户会话形成基于站点使用和站点内容的个性化推荐集,最后在整合两种推荐集的基础上完成个性化推荐.

Usage-based personalization is a very important method of personalization for electronic commerce website. Aiming at this method＇s limitations, this article proposes a new method, which process is clustering the transactions based on website usage and content respectively, discovering usage and content profiles, forming recommendation sets based on usage and content profiles respectively, integrating two recommendation sets for personalization.