• 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