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Journal of the Korean Society for Library and Information Science

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Vol.39 No.3
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A Study on Development of Hybrid Personalization Recommendation System Based on Learning Algorithm

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2005, v.39 no.3, pp.75-91


& (2005). A Study on Development of Hybrid Personalization Recommendation System Based on Learning Algorithm. Journal of the Korean Society for Library and Information Science, 39(3), 75-91.
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Abstract

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.

keywords
개인화서비스, 학습알고리즘, 하이브리드, 추천알고리즘, 추천시스템, SDI, 선택적 정보배포, Personalization, Recommendation, Hybrid, Learning Algorithm, SDI

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