Predicting and improving player retention is crucial to the success of mobile Free-to-Play games. This paper explores the problem of rapid retention prediction in this context. Heuristic modeling approaches are introduced as a way of building simple rules for predicting short-term retention. Compared to common classification algorithms, our heuristic-based approach achieves reasonable and comparable performance using information from the first session, day, and week of player activity.
|Original language||English (US)|
|Title of host publication||Twelfth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-16)|
|Number of pages||7|
|State||Published - 2016|
Drachen, A., Lundquist, E. T., Kung, Y., Rao, P., Sifa, R., Runge, J., & Klabjan, D. (2016). Rapid Prediction of Player Retention in Free-to-Play Mobile Games. In Twelfth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-16) (pp. 23-29)