基于知识转移的商品推荐研究

Study on Goods Recommendation Based on Knowledge Transformation

分析了传统的客户关系管理模型(CRM)功能和结构上的不足,把知识转移与客户关系管理联系起来,将人工智能,数据挖掘与电子商务相结合,得到了基于知识转移的客户关系管理模型(KTCRM),通过分析KTCRM的框架和功能,以及用推荐支持度取代传统算法的数量支持度,设计实现了关联规则挖掘算法,使客户关系管理由被动处理现有的知识发展到能主动地进行知识转移,从而得到新的信息,更好地为客户进行服务。

We analyze the traditional customer relationship management（CRM）,and discuss the fault of the structure and the function.We think that knowledge is dynamical and it can be transformed.We improve the model and propose a new model（KTCRM）by use of the knowledge transfer idea.It can solve the problem of the common model that thinks the knowledge is static.And we run our algorithm by recommendation support degree.