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With the development of e-commerce, the rapid increase of information, recommendation system has been gradually transition to the application from the research, as a representative of the commercial value were becoming e-commerce recommendation system. At the same time, recommend technology research also gradually being taken seriously. This article through to the electronic commerce recommendation system and its related theory and technology introduction, analyzes the problems existing in the present e-commerce recommendation system, thus put forward Agent e-commerce recommendation system (ARS) model, the model from the application background, field, and the flexible aspects has carried on the analysis, proved the feasibility of the system, and introduces in detail the model of the structure, function, operation process, etc. In this paper, based on the analysis of the shortages of the traditional collaborative filtering recommendation, according to the characteristics of the ARS model of traditional collaborative filtering recommendation improved research, can satisfy the ARS is proposed based on explicit rating of functional features of collaborative filtering recommendation and based on the implicit coordination filtration recommendation, and implementation of algorithm process is illustrated, and prove its validity. Finally, in this paper, the work is summarized, and the next research direction are put forward.
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