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A System Algorithm for Recommending User-Customized Games

  • Son, So-hui (Department of Software, Catholic University) ;
  • Lee, Im-kyeong (Department of Software, Catholic University) ;
  • Huh, Jun-ho (Department of Software, Catholic University)
  • Received : 2017.08.12
  • Accepted : 2017.09.14
  • Published : 2017.09.30

Abstract

Recently, game companies are having difficulties in exactly figuring out the right consumer groups for their games. To solve this problem, a system algorithm which recommends user-customized games based on the user information entered has been proposed in this study. Game developers will be able to clearly determine the consumer group(s) of both on and off-line games through accumulated data while consumers can find the game they desire. It is expected that the gaming culture will advance further with the proposed algorithm.

Keywords

References

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