数据挖掘在跨境电商客户特征分析中的应用

Application of data mining in cross border e-commerce customer characteristics analysis

近些年来,经济全球化程度逐步加深,互联网信息技术迅速发展,跨境电子商务已然变成了中外贸易的新增长点。同时,在跨境电商平台上,销售的商品日益丰富。对于消费者来说,要在这么海量的商品里面,选择符合他需求的商品是一个普遍存在的问题困境。通过统计分析和挖掘跨境电商客户自身的一些属性特征和其购买的商品的一些属性特征,为跨境电商企业的营销策略和物流布局提供参考,帮助消费者快速挑选到满意的商品。

In recent years,with the deepening of economic globalization and the rapid development of Internet information technolo⁃gy,cross-border e-commerce has become a new growth point of Sino foreign trade.At the same time,on the cross-border e-com⁃merce platform,more and more goods are sold.It is a common problem for consumers to choose the products that meet their needs in such a large number of commodities.Through statistical analysis and mining some attribute characteristics of cross-border e commerce customers and their purchased goods,this paper provides reference for marketing strategy and logistics layout of cross border e-commerce enterprises,and helps consumers quickly select satisfactory goods.