Journal of Multimedia Information System

한국멀티미디어학회 (Korea Multimedia Society)
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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)
  • 투고 : 2017.08.12
  • 심사 : 2017.09.14
  • 발행 : 2017.09.30
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초록

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.

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참고문헌

  1. J. H. Huh and K. Seo, "Development of competencyoriented social multimedia computer network curriculum," Journal of Multimedia Inf. Syst. (JMIS), Vol.1, No2, pp.133-142, 2014.
  2. Ji Soo Park, Suk Jae Jeong, Young Hoon Lee and Kyung Sup Kim, "Implementation of Rule Based Insurance Product Recommend and Design System using Fuzzy Inference," The Journal of Society for e-Business Studies, Vol. 12, No. 1, pp. 99-122, 2007.
  3. Paul Resnick, Neophytos Iacovou, Mitesh Suchak, Peter Bergstrom and John Riedl, "GroupLens: An Open Architecture for Collaborative Filtering of Netnews," Proc. of ACM 1994 Conference on Computer Supported Cooperative Work, pp. 175-186.
  4. O-Joun Lee, "Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System," Journal of the Korea Society of Computer and Information, 2014-05 19:61-69. https://doi.org/10.9708/jksci.2014.19.5.061
  5. Ji-Hye Kim, Doo-Soon Park and "Development of the Goods Recommendation System using Association Rules and Collaborating Filtering," The Journal of Korean association of computer education, Vol. 9, pp. 71-80, 2006.
  6. il Woo, "Shopping Recommendation System using Collaborative Filtering," Inha Univercity, May, 2014.
  7. Minjeong Kim and Yoonho Cho, "A Multimodal Profile Ensemble Approach to Development of Recommender Systems Using Big Data," Journal of Intelligent Information Systems, Vol. 21, No. 4, Dec. pp. 93-110, 2015.
  8. Kyu Shik Lee and Ji Won Yoon, "Rapid Hybrid Recommender System with Web Log for Outbound Leisure Products," KIISE Transactions on Computing Practices, Vol. 22, No. 12, pp. 646-653, 2016. https://doi.org/10.5626/KTCP.2016.22.12.646
  9. So-hui Son, Im-kyeong Lee and Jun-ho Huh, "A System Algorithm for Recommending User-Customized Games," Spring Conference of the Korea Multimedia Society, Vol.20, No.1, 2017.
  10. Hong-Wook Huh, Su-Ock Shon and Man-Kyu Huh, "Analysis of Middle School-Science Parts among the Products of Nation-Wide Science Exhibition," Journal of The Korean Association for Science Education, The Korean Association for Research In Science Education, Vol.23, No.2, pp.117-130, 2003.
  11. Man-Kyu Hur, Hong-Wook Huh and Kwang-Joong Oh, "A Comparison of Questioning Styles in Middle School Environmeotology Textbook," Journal of Environmental Science International, The Korean Environmental Sciences Society, Vol.6, No.2, pp. 107-112, 1997.