A Study on Development of Hybrid Personalization Recommendation System Based on Learing Algorithm

학습알고리즘 기반의 하이브리드 개인화 추천시스템 개발에 관한 연구

  • 김용 (KT 마케팅연구소 스마트카드서비스개발실) ;
  • 문성빈 (연세대학교 문헌정보학과)
  • Published : 2005.09.01


The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.


Personalization;Recommendation;Hybrid;Learning Algorithm;SDI


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