电子商务智能推荐系统中基于领域本体的案例检索算法

针对传统电子商务推荐算法的不足，提出了综合语义相似度的案例检索算法。算法通过加权平均商品的概念语义相似度、基于类型的属性语义相似度和基于数据类型的属性值相似度，来计算案例的综合相似度，避免了传统推荐算法中计算相似度仅靠属性值，没考虑语义和属性类型的影响造成的效率低、精度差等问题。设计了领域本体协同案例推理的电子商务智能推荐系统架构，通过在领域本体中抽取语义要素对案例进行表示，拓宽了案例求解空间，达到了协助用户检索及完成商品推荐的任务。经实例对比分析该算法有效且精度较高。

Case retrieval algorithm based on domain ontology in intelligent recommendation system of e-commerce

In view of the shortcomings of the traditional e-commerce recommendation algorithm,the case retrieval algorithm of synthetic semantic similarity was developed in this paper.Through the concept semantic similarity of weighted average commodity,type-based attribute semantic similarity and data-based type attribute value similarity,the comprehensive similarity of the case was calculated.The proposed algorithm solved the problem of low efficiency and inferior precision that calculating the similarity only depen...