Development of Apparel Coordination System Using Personalized Preference on Semantic Web

시맨틱 웹에서 개인화된 선호도를 이용한 의상 코디 시스템 개발

  • 은채수 (인하대학교 컴퓨터정보공학과) ;
  • 조동주 (상지대학교 컴퓨터정보공학부) ;
  • 이정현 (상지대학교 컴퓨터정보공학부) ;
  • 정경용 (상지대학교 컴퓨터정보공학부)
  • Published : 2007.04.28


Internet is a part of our common life and tremendous information is cumulated. In these trends, the personalization becomes a very important technology which could find exact information to present users. Previous personalized services use content based filtering which is able to recommend by analyzing the content and collaborative filtering which is able to recommend contents according to preference of users group. But, collaborative filtering needs the evaluation of some amount of data. Also, It cannot reflect all data of users because it recommends items based on data of some users who have similar inclination. Therefore, we need a new recommendation method which can recommend prefer items without preference data of users. In this paper, we proposed the apparel coordination system using personalized preference on the semantic web. This paper provides the results which this system can reduce the searching time and advance the customer satisfaction measurement according to user's feedback to system.


Collaborative Filtering;Association Rule;Recommendation System;Semantic Web;Apparel Coordination