References
- Kansei Kogaku e no Shotai A.Shinohara;Y.Shimizu;H.Skamoto
- Kanse Kogaku M.Nagamaji(transferred by Y.M.Kim)
- Fashion and Sensibility Science O.Kwan;H.Kim;Y.Na
- The Ergonomics Society of Korea Symposium Proceeding A Study on Design Factor Transfer Supporting System Based on Sensibility Science S.Han;S.Yang;K.Chung;H.Kim;J.Park;S.Lee
- Comfort Science S.Miyake(Transferred by Min.B.)
- AAAI/IAAI Combining Collaborative Filtering with Personal Agents for Better Recommendation N.Good;B.Schafer;J.Konstan;A.Borchers;B.Sarwar;J.Riedl
- Lecture Notes in Artificial Intelligence 2557, 15th Australian joint Conference on Artificial Intelligence Prediction of User Preference in Recommendation System Using Association User Clustering and Bayesian Estimated Value K.Jung;J.Lee
- In Proceedings of the Fifteenth National Conference on Artificial Intelligence Recommendation as classification: Using Social and Content based Information in Recommendation C.Basu;H.Hirsh;W.Cohen
- Inha Univ. Master Thesis Prediction Method Using Associative User Clustering and Bayesian Estimated Value in Collaborative Filtering System K.Jung
- Proc. of the14th Conference on Uncertainty in Artificial Intelligence Empirical Analysis of Predictive Algorithms for Collaborative Filtering J.Breese;D.Heckerman;C.Kadie
- In Proceedings of ACM SIGIR'99 An Algorithm Framework for Performing Collaborative Filtering J.Herlocker;J.Konstan;A.Borchers;J.Riedl
- Hanyang Univ. Ph.D.Dissertation A Study on Sensibility Science Technology of Texture and Colour Coordination M.Kim
- Yonsei Univ. Master Thesis Merchandising Strategy through Weight Analysis on Selecting of Textile Materials for Fashion K.Kim
- Kor. Jour. of the Science of Emotion and Sensibility v.5 no.1 Grouping Preferred Sensations of College Students Using Sementic Differential Methods for Sensation Words Y.Na;G.Cho
- Fiber Technology and Industry v.2 no.4 Case Study on Sensibility Science in the Field of Textile Design J.Lee
- J. Kor. Soc. Ind. v.2 no.3 Characteristics of Domestic Textile Designs and Trend Sensibility for Women's Apparel Y.Na;O.Kwon