摘要： 在电子商务个性化推荐系统中，输入数据过多地依赖客户对项目的评价。针对这一问题，该文将基于案例推理技术引入到个性化推荐系统的研究中，提出了一种新的系统结构框架，分析了该框架的关键技术，通过简单的示例说明了案例推理技术在个性化推荐系统中的应用过程，并验证其有效性和准确性。

关键词: 电子商务个性化推荐系统, 基于案例推理, 最近邻法

Abstract: Data input excessively dependes on the customer’s evaluation of the personalization recommendation system in E-commerce. For resolving the problem, this paper proposes a framework for the recommendation system by considering the steps of case-base reasoning method, analyzes the key techniques of framework. An example is given to describe the application process of the CBR approach in the personalized recommendation system. The framework improves the effectiveness and accuracy of the recommendation system.

Key words: personalized recommendation system in E-commerce, case-based reasoning, nearest neighbor method

中图分类号: 

• TP311