Abstract
As fashion E-business is coming, it is becoming important to provide the analysis of preferences that is becoming increasingly more customer oriented. Consumers caused the diversification of the fashion product because they seek fashion and individuality in order to satisfy their needs. In this paper, we proposed the quick response system using the collaborative filtering on fashion E-business. The proposed method applies the developed quick response system to increase the efficiency of merchandising for the products of design styles. Collaborative filtering was adopted in order to recommend final design styles of interest for designers based on the predictive relationship discovered between the current designer and other previous designers. Ultimately, this paper suggests empirical applications to verify the adequacy and the validity of our system.
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Chung, KY., Song, CW., Rim, KW., Lee, JH. (2010). Quick Response System Using Collaborative Filtering on Fashion E-Business. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2010. Lecture Notes in Computer Science(), vol 6421. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16693-8_6
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DOI: https://doi.org/10.1007/978-3-642-16693-8_6
Publisher Name: Springer, Berlin, Heidelberg
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