Profiling Players with Engagement Predictions

07/09/2019
by   Ana Fernández del Río, et al.
0

The possibility of using player engagement predictions to profile high spending video game users is explored. In particular, individual-player survival curves in terms of days after first login, game level reached and accumulated playtime are used to classify players into different groups. Lifetime value predictions for each player---generated using a deep learning method based on long short-term memory---are also included in the analysis, and the relations between all these variables are thoroughly investigated. Our results suggest this constitutes a promising approach to user profiling.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset