DocumentCode :
545345
Title :
Method to consider familiarity in clothing coordination recommender systems
Author :
Akabane, Takahiro ; Kosugi, Suzuka ; Kimura, Sayaka ; Arai, Masayuki
Author_Institution :
Dept. of Inf. Sci., Teikyo Univ., Tochigi, Japan
Volume :
1
fYear :
2011
fDate :
11-13 March 2011
Firstpage :
22
Lastpage :
26
Abstract :
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.
Keywords :
clothing; production engineering computing; recommender systems; Kansei words; clothing coordination recommender systems; familiarity considering method; internal activity factors; Atmospheric measurements; Clothing; Color; Information processing; Multimedia communication; Particle measurements; Recommender systems; Kansei information processing; clothing coordination; considering familiarity; recommender systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Research and Development (ICCRD), 2011 3rd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-839-6
Type :
conf
DOI :
10.1109/ICCRD.2011.5763965
Filename :
5763965
Link To Document :
بازگشت