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A Recommendation Using Item Quality

  • Sung-hoon Cho
  • Moo-hun Lee
  • Bong-Hoi Kim
  • Eui-in Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4953)

Abstract

Today there are a lot of recommender systems operating on the web. These systems use content-based filtering or collaborative filtering or hybrid approach that was studied before. These techniques operate recommendation by using features of user and item, similarity of users, and items. Even though there is a consideration of attributes of items and users, but there is not much consideration of the quality of items. This is why item quality is not easy to be measured. This paper computes item quality, suggests it to apply to the recommender system, and presents it by analyzing the influence.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Sung-hoon Cho
    • 1
  • Moo-hun Lee
    • 1
  • Bong-Hoi Kim
    • 2
  • Eui-in Choi
    • 1
  1. 1.Dept. of Computer EngineeringHannam UniversityDaedeok-guKorea
  2. 2.UBNC Co., Ltd.Yuseong-guKorea

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