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arXiv · 1907.03870

Profiling Players with Engagement Predictions

Ana Fernández del Río·Pei Pei Chen·África Periáñez
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Abstract

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.

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BibTeXRIS

Ana Fernández del Río, Pei Pei Chen, África Periáñez. 2019-07-09. Profiling Players with Engagement Predictions. https://doi.org/10.1109/cig.2019.8848074

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