Method to Consider Familiarity in Clothing Coordination Recommender Systems

摘要：

This paper describes a method for clothing coordination recommender systems to consider familiarity by using internal activity factors. We implemented the method in our system for evaluation and conducted experiments using pairs of Kansei words to reflect the impressions of participants. The experimental results show the effectiveness of the method. This method should also be useful for other systems, such as food recommendation systems.

关键词： clothing coordination recommender systems considering familiarity Kansei information processing

作者: Takahiro AKABANE Suzuka KOSUGI SayakaKIMURA MasayukiARAI

作者单位: Department of Information Sciences School of Science & Engineering, Teikyo University 1-1 Toyosatodai, Utsunomiya, Tochigi, Japan

会议类型: 国际会议

会议名称: 2011 3rd IEEE International Conference on Computer Research and Development(ICCRD 2011)(2011第三届计算机研究与发展国际会议)

会议地点: 上海

会议语种:英文

页码: 22-26

在线出版日期: 2011-03-11（万方平台首次上网日期，不代表论文的发表时间）