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학술대회 Optimizing Game Live Service for Mobile Free-to-Play Games
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저자
이상광, 양성일
발행일
201708
출처
Conference on Computatonal Intelligence and Games (CIG) 2017, pp.189-190
DOI
https://dx.doi.org/10.1109/CIG.2017.8080434
협약과제
17CS1300, 지능형 라이브 서비스를 위한 게임 운영 시나리오 최적화 플랫폼 기술 개발, 양성일
초록
In this paper, we propose a method for optimizing the game live service. Especially, we focus on improving user retention. Firstly, we define player churn in the game and extract features that contain the properties of the player churn from the game logs. And then we evaluate the importance of features using random forest in classification. Finally, we build association matrix between features and suggest a reward method for in-game events according to the relative importance of features and the interrelationships between features. Results of applying to the game in service show that the proposed scheme is enough to improve user retention.
KSP 제안 키워드
Association matrix, Free-To-Play, Random forest, Relative importance, Reward method, User Retention, extract features, game logs