Method to Consider Seasonal Changes in Clothing Coordination Recommender Systems
Suzuka Kosugi, Takahiro Akabane, Sayaka Kimura, Masayuki Arai · 2011
This paper describes a method enabling clothing coordination recommender systems to consider seasonal changes by using probabilistic state transition models. We implemented the proposed method in our system for evaluation. Experimental results show the method can improve user satisfaction. This method should also be useful for other similar systems, such as food recommendation systems.