Abstract:This article addresses the customer knowledge acquisition by using the intelligent Agent technology. This article establishes intelligent Agent based knowledge management framework for electronic commerce, and utilizes buyer Agent as a tool for acquiring customer knowledge, and seller Agent as a tool for retrieving the matched the product information. This paper also constructs models of the product and the customer, and designs a kind of ontology-based product classification learning algorithm. Finally, a proof of prototype is implemented to effectively acquire the customer knowledge through intelligent Agent technology, and also to enhance the product information retrieval precision and speed. This result provides a new approach to customer knowledge management under the electronic commerce environment.