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How to improve the diversity on collaborative filtering using tags

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(7), pp.11-17
  • DOI : 10.9708/jksci.2018.23.07.011
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 28, 2018
  • Accepted : July 11, 2018
  • Published : July 31, 2018

Jin-Hyeon Joo 1 GeunDeok Park 1

1호서대학교

Accredited

ABSTRACT

In this paper, we propose how to improve the lack of diversity in collaborative filtering, using tag scores contained in items rather than ratings of items. Collaborative filtering has excellent performance among recommendation system, but it is evaluated as lacking diversity. In order to solve this problem, this paper proposes a method for supplementing diversity lacking in collaborative filtering by using tags. By using tags that can be used universally without using the characteristics of specific articles in a recommendation system, The proposed method can be used.

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