基于Web数据挖掘的B2C推荐系统的设计

电子商务相对传统贸易具有成本上面的优势。随着互联网的普及，电子商务的一种重要分支，企业对个人的电子商务（BUSINESSTOCUSTOMER，B2C）被越来越多人们接受和使用。但是互联网上的信息量非常巨大，普通消费者往往不知道如何才能买到自己心仪的商品。利用WEB数据挖掘的相关技术，设计了一个可以在B2C贸易中推荐优惠商品给用户的系统。

Recommendation System Design Based on Web Data Mining

Compared with traditional business, E-Business has a lot of advantage, e.g. in cost. As a branch of E-Business, B2C has been accepted and used by more and more people with population of lnternet. But information on Internet is very huge, so that gen- erally customers have difficulty to choose what they want. So the purpose of this paper is to design a B2C recommendation system with web data mining technology, which can monitor and notify goods on sale to customers.