摘要
On the basis of expert system, we design a costume recommendation system which provides customers with clothing collocation solution and more experience. We set up a costume matching knowledge base collected from experts, and represent the knowledge with production rules. By analyzing the customers' specific physical information got through man-machine interface, the proposed system provides customers an intelligent costume recommendation strategy in accordance with blackboard model reasoning. Moreover, index adding algorithm is integrated into the traditional serial blackboard model in the system. Finally, we present experiments which show the search rate is improved significantly.
On the basis of expert system, we design a costume recommendation system which provides customers with clothing collocation solution and more experience. We set up a costume matching knowledge base collected from experts, and represent the knowledge with production rules. By analyzing the customers＇ specific physical information got through man-machine interface, the proposed system provides customers an intelligent costume recommendation strategy in accordance with blackboard model reasoning. Moreover, index adding algorithm is integrated into the traditional serial blackboard model in the system. Finally, we present experiments which show the search rate is improved significantly.
作者
毛青青
董爱华
苗清影
潘璐
MAO Qingqing;DONG Aihua;MIAO Qingying;PAN Lu(College of Information Science and Technology, Donghua University, Shanghai 201620, China;Engineering Research Center of Digital Textile and Garment Technology, Donghua University, Shanghai 201620, China;School of Continuing Education, Shanghai Jiao Tong University, Shanghai 200030, China)
基金
the National Natural Science Foundation of China(Nos.61304158 and 61473189)
