Abstract: Based on the traditional electronic commerce recommendation system, these technology means such as distributed computing, publish/subscribe based on the semantic，and ontology were introduced. The personalized electronic commerce recommendation model architecture was designed. The film areas ontology was constructed, which was implemented by Protégé 3.3.1 ontology model tool. The architecture core algorithms were described in detail, which are the clustering algorithm of users characteristics and the match algorithm of publish/subscribe based on the semantic. The experimental results show that the personalized recommendation system based on publish/subscribe has a good recommendation accuracy.

Key words: Electronic commerce recommendation , Semantic , Publish/subscribe ,  Ontology

摘要： 在传统的电子商务推荐系统的基础上,引入了分布式计算、基于语义的发布/订阅、本体库等技术手
段,设计了一种个性化电子商务推荐模型系统,构建了电影领域的本体库,并在Prot湨g湨3.3.1中实现本体库模型。
重点实现了用户特性聚类算法和基于语义的发布/订阅匹配算法。实验结果表明,基于发布/订阅的个性化推荐系
统具有较好的推荐准确率。

关键词: 电子商务推荐 , 语义 , 发布/订阅, 本体库