sa ›› 2018, Vol. 23 ›› Issue (2): 227-234.doi: 10.1007/s12204-018-1933-x

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Intelligent Costume Recommendation System Based on Expert System

MAO Qingqing (毛青青), DONG Aihua (董爱华), MIAO Qingying (苗清影), PAN Lu (潘璐)   

  1. (1. College of Information Science and Technology, Donghua University, Shanghai 201620, China; 2. Engineering Research Center of Digital Textile and Garment Technology, Donghua University, Shanghai 201620, China; 3. School of Continuing Education, Shanghai Jiao Tong University, Shanghai 200030, China)
  • 出版日期:2018-04-01 发布日期:2018-06-19
  • 通讯作者: MIAO Qingying (苗清影) E-mail: qymiao@sjtu.edu.cn

Intelligent Costume Recommendation System Based on Expert System

MAO Qingqing (毛青青), DONG Aihua (董爱华), MIAO Qingying (苗清影), PAN Lu (潘璐)   

  1. (1. College of Information Science and Technology, Donghua University, Shanghai 201620, China; 2. Engineering Research Center of Digital Textile and Garment Technology, Donghua University, Shanghai 201620, China; 3. School of Continuing Education, Shanghai Jiao Tong University, Shanghai 200030, China)
  • Online:2018-04-01 Published:2018-06-19
  • Contact: MIAO Qingying (苗清影) E-mail: qymiao@sjtu.edu.cn

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.

关键词: costume recommendation, expert system, blackboard model, index adding

Abstract: 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.

Key words: costume recommendation, expert system, blackboard model, index adding

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