EPIA'03 - 11th Portuguese Conference on Artificial Intelligence

	Session: December 5, 17:15-18:45, Room B
Title:	Creating User-Adapted Design Recommender System through Collaborative Filtering and Content Based Filtering
	Kyung-Yong Jung, Young-Joo Na, Jung-Hyun Lee
Abstract:	Information filtering is an important technology for the creation of recommender system, which are adapted to the user’s needs. In this paper we identify collaborative filtering and content-based filtering as independent technologies for information filtering. We apply both technologies in our prototype user-adapting recommender system, a design recommender system for textile. We propose the user-adapted design recommender system of textile design applying both technologies as one of methods in the material development centered on customer’s sensibility and preference. We build the database founded on the sensibility adjective to develop textile design by extracting the representative sensibility form user’s sensibility and preference about textiles. Our system recommends textile designs to a customer who has a similar propensity about textile. Ultimately, this paper suggests empirical applications to verify the adequacy and the validity on this system with the development of design recommender system.

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