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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
  • 2005, 39(3), pp.75-91
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science

김용 1 Sung Been Moon 2

1전북대학교
2연세대학교

Accredited

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.

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