Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models

@article{Chen2018CustomerLV,
  title={Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models},
  author={Pei Pei Chen and Anna Guitart and Ana Fern{\'a}ndez del R{\'i}o and {\'A}frica Peri{\'a}{\~n}ez},
  journal={2018 IEEE International Conference on Big Data (Big Data)},
  year={2018},
  pages={2134-2140}
}
  • Pei Pei Chen, Anna Guitart, +1 author África Periáñez
  • Published 2018
  • Computer Science, Mathematics
  • 2018 IEEE International Conference on Big Data (Big Data)
  • Nowadays, video game developers record every virtual action performed by their players. As each player can remain in the game for years, this results in an exceptionally rich dataset that can be used to understand and predict player behavior. In particular, this information may serve to identify the most valuable players and foresee the amount of money they will spend in in-app purchases during their lifetime. This is crucial in free-to-play games, where up to 50% of the revenue is generated by… CONTINUE READING

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