基于大数据的电子商务商品推荐系统研究

Research on the recommendation system of electronic commerce based on big data

随着现代电子商务的不断发展,如何在琳琅满目的商品中给客户推荐针对性的商品,从而提高商品成交率成为当前的思考的重点。本文结合当前的大数据技术,提出一种基于数据挖掘的电子商务推荐系统,并对其实现进行了详细的探讨,从而为当前电子商务的发展提供参考。

With thedevelopment of modern electronic commerce,how to in an array of goods to customers recommended for the goods,so as to improve the commodity turnover rate has become the focus of current thinking. In this paper,combined with the current big data technology.