电子商务智能推荐系统中的案例检索算法探讨

Discussion on Case Retrieval Algorithm in Intelligent Recommendation System of Electronic Commerce

针对传统电子商务推荐算法中的缺陷,提出以案例推理为基础的案例检索算法,通过对商品概念语义相似度的加权平均算法以及数据类型和属性的相似度等计算出案例的综合相似度,避免了传统算法中计算单一相似度的不足,提高了电子商务系统的运行效率和精确度,为电子商务系统的设计提供考参考的价值。

In view of the defects in the traditional electronic commerce recommendation system,this paper presents a case retrieval algorithm based on case reasoning,which calculates the comprehensive similarity of cases by using the weighted average algorithm of product concept semantic similarity and the similarity of data types and attributes,avoiding the shortage of the single similarity in traditional algorithm. This algorithm has improved the operating efficiency and accuracy of electronic commerce system,providing references for the system design.