基于支持向量机的电子商城用户分类个性化推荐算法设计

The Designation of e-commerce personalized recommendation system of classification of users Based on support vector machines

电子商城作为用户经常性访问的场所,这对用户实时分类进而完成商品购买预测准确性提供了必要的数据基础,本文基于支持向量机技术,对基于登录用户实时分类,进而完成商品个性化推荐的预测过程进行了详细设计,以减少客户搜索商品的时间,提升网站的销售额。

Electronic shopping mall is often accessed by users,the purchasing data can predict the demand goods.In this paper,based on the support vector machine technology and the users’ real-time classification,the personalized prediction system is designed.It can reduce the time to search the goods and increase the sales.