An intelligent shopping system based on multi-attribute decision and collaboration filtering
Zhang Liyi · Engineering Journal of Wuhan University · 2008
An agent-based shopping system is presented.First,the system can acquire the customer's current needs from system-customer interactions.Then the system integrates built-in expert knowledge and the customer's current needs,and recommends optimal products based on multi-attribute decision method.To reduce the effort of system-customer interactions,the system utilizes customer-based collaboration filtering approach to recommend the products.Finally,an experimental prototype based on JADE is developed,which integrates the system with a Web application.