Browse > Article
http://dx.doi.org/10.9717/JMIS.2017.4.4.211

A Design of Promotion Management System for Webtoon  

Jeong, Hyun-jin (Department of Software, Catholic University of Pusan)
Lee, Seung-hwan (Department of Software, Catholic University of Pusan)
Lee, Jun-hyun (Department of Software, Catholic University of Pusan)
Huh, Jun-ho (Department of Software, Catholic University of Pusan)
Publication Information
Journal of Multimedia Information System / v.4, no.4, 2017 , pp. 211-218 More about this Journal
Abstract
Recently, the number of subscribers of the webtoons published by some major internet portal companies and others is increasing and their revenues are continually rising. Accordingly, a number of studies are being conducted for this phenomenon. For the uploaders off webtoons, their works are graded and added up for the promotion review but the criteria of such a promotion system usually fall short of readers' expectations. Although most of the subscribes of webtoons are drawn into subscription mainly by the recommendation of people around them, the responses from the new subscribers were often quite different from what the portal companies have anticipated, affecting the rank of the webtoon. Thus, a promotion management system which provides a reliable and clear method of assessment is proposed in this study including the revenue and copyright management scheme for the cartoonists.
Keywords
Design; Promotion Management System; Algorithm; Software Engineering;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
연도 인용수 순위
1 Cohen E, Paul W and Schmaltz S, "Theory of multi core hypervisor verification," LNCS, Springer, Berlin, pp 1- 27, 2013.
2 So-hui Son, Im-kyeong Lee and Jun-ho Huh, "A System Algorithm for Recommending User-Customized Games," Journal of Multimedia Information System Vol. 4, No. 3, pp.145-150, 2017.   DOI
3 Ji Soo Park, Suk Jae Jeong, Young Hoon Lee and KyungSup 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.
4 Paul Resnick, Neophytos Iacovou, Mitesh Suchak, PeterBergstrom 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, 1994.
5 Ji-Hye Kim and Doo-Soon Park, "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.   DOI
9 Hyun-Jin Jeong et al., "Design of Promotion Management System for Webtoon," Spring Conference of the Korea Multimedia Society, Vol.20, No.1, 2017. (In Korean)