基于自适应滤波的个性化推荐系统设计

电子商务发展迅速,互联网的发展更成为电子商务的引擎,电子商务网站如雨后春笋一样成长起来,但是"信息超载"成为当前电子商务网站的一大弊端,让客户面对纷繁复杂的货物一筹莫展。该文分析了当前应用的几种个性化推荐方法,对它们的不足进行了分析,并提出了一种基于自适应滤波的个性化推荐系统,能为客户提供个性化的推荐服务,而且随着时间的推移,系统在性能上会更加出众。

Personalized Recommend System Design Based on Adaptive Filtering

E-commerce developing rapidly, the development of the Internet has become the engine of e-commerce, e-commerce sites such as springing, like growing up, but the "information overload" has become a major e-commerce website drawbacks, allows customers to face the complex of goods unable to do anything. This paper analyzes several current applications recommend personalized methods, the shortcomings of their analysis and propose a filter based on adaptive personalized recommendation system that can provide cus...