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

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3 Author(s)
Xin Sui ; Coll. of Inf. Eng., Capital Normal Univ., Beijing ; Suozhu Wang ; Zhaowei Li

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.

Published in:

Computer Supported Cooperative Work in Design, 2009. CSCWD 2009. 13th International Conference on

Date of Conference:

22-24 April 2009

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