Abstract
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) |
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Title of host publication | Twelfth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE-16) |
Pages | 23-29 |
Number of pages | 7 |
State | Published - 2016 |