Study and design on the model of personalized recommendation system in e-commerce based on multi-agent

Abstract

With the development of the Internet, e-commerce has become an important form for current consumer purchases or browsing commodity. It was a problem on how to provide personalized recommendation e-commerce service for users under growing and changes in the amount of commodity information. According to the Agent and Web data mining technology, this paper presents a base on Agent of e-commerce personalized recommendation system structure that is composed of customers, personalized recommendation system and e-commerce sites. The personalized recommendation system is divided into 3 layers, including the presentation layer, the business logic layer and the data service layer. The function of each part and multi-Agent cooperative work flow of the personalized recommendation system are designed. The system could meet intelligent personalized recommendation and personalized demand for consumers under the e-commerce environment, which has certain practical and promoted value in the future. © 2011 Springer-Verlag Berlin Heidelberg.