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Applicability Of Recurrent Neural Networks To Player Data Analysis In Freemium Video Games, Jonathan Tan
Applicability Of Recurrent Neural Networks To Player Data Analysis In Freemium Video Games, Jonathan Tan
Electronic Thesis and Dissertation Repository
We demonstrate the applicability and practicality of recurrent neural networks (RNNs), a machine learning methodology suited for sequential data, on player data from the mobile video game My Singing Monsters. Since this data comes in as a stream of events, RNNs are a natural solution for analyzing this data with minimal preprocessing. We apply RNNs to monitor and forecast game metrics, predict player conversion, estimate lifetime player value, and cluster player behaviours. In each case, we discuss why the results are interesting, how the trained models can be applied in a business setting, and how the preliminary work can …