抄録
O-040
What to wear in different situations? A Content-based Recommendation System for Fashion Coordination
◎趙　　瑩・荒木健治（北大）
This paper presents a solution of what people should wear in different situations by using the content-based method. This system provides user two image options of clothes coordination including hat,shirt,pants and shoes. It uses persistent user profiles and learning user's preference, which suggest current season clothes automatically by user's schedule.The situation information can generate the appropriate dress coordination. Experiments indicate that this recommendation system is helpful for decision making on clothes is promising.