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.