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Conference Paper Optimizing Game Live Service for Mobile Free-to-Play Games
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Authors
Sang-Kwang Lee, Seong-Il Yang
Issue Date
2017-08
Citation
Conference on Computatonal Intelligence and Games (CIG) 2017, pp.189-190
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/CIG.2017.8080434
Abstract
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 Keywords
Association matrix, Free-to-play, Relative importance, Reward method, User Retention, extract features, game logs, random forest