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 Internet. But information on Internet is very huge, so that generally 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.%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(BUSINESS TO CUSTOMER,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.
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