Research on the model of Integration with Semantic Web and Agent Personalized Recommendation System

Abstract

To overcome the disadvantages of the existing recommender system such as intelligence, adaptive, flexibility ability and the limitations of accuracy and efficiency for the results, the framework model of integration with semantic Web and agent personalized recommendation system in e-commerce (SWAPRS) is designed based on semantic Web and agent and Web mining technology. The function module of SWAPRS is constructed to be an autonomy intelligent agent by means of agent technology in this architecture. The work flow of recommender system and function of module are discussed in this paper.