An Agent-based Online Shopping System in E-commerce

The paper presents an agent-based shopping system. First, the system can acquire the customerʹs current needs from system-customer interactions. Then the system integrates built-in expert knowledge and the customerʹs current needs, and recommends optimal products based on multi-attribute decision method. In order to maintain a semantic conversation with sellers, the commodity ontology is also utilized to support sharable information format and representation. Finally, an experimental prototype based on JADE is developed.