Keep You from Leaving: Churn Prediction in Online Games
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-59416-9_16
Reference24 articles.
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3. Borbora, Z.H., Srivastava, J.: User behavior modelling approach for churn prediction in online games. In: 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Conference on Social Computing, pp. 51–60. IEEE (2012)
4. Castro, E.G., Tsuzuki, M.S.: Churn prediction in online games using players’ login records: a frequency analysis approach. IEEE Trans. Comput. Intell. AI Games 7(3), 255–265 (2015)
5. Chen, L., Liu, Y., He, X., Gao, L., Zheng, Z.: Matching user with item set: collaborative bundle recommendation with deep attention network. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence, pp. 2095–2101. AAAI Press (2019)
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