This paper introduces a governmental project to develop a recommendation system, which recommends products to customers, recognizing their ‘kansei’ desires. The project aims at supporting sales expansion and new products development in traditional crafts in Ishikawa prefecture, Japan. For this, the project is developing a technique for selecting and providing information according to individual person’s ‘kansei’ desire, in order to develop a ‘kansei’ search engine with an information aggregation system and a product data base system. In the future, this technique will be used in developing a technique to measure and evaluate peoples’ feeling or ‘kansei’, or a technique to select and provide ‘kansei’ information according to individual person’s preference, ability, or characteristics.


Recommendation System Fuzzy Model Information Aggregation Computer Support Cooperative Work Order Weight Average 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yoshiteru Nakamori
    • 1
  1. 1.School of Knowledge ScienceJapan Advanced Institute of Science and TechnologyNomiJapan

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