A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games

Author:

Xiong Yu1ORCID,Wu Runze1ORCID,Zhao Shiwei1ORCID,Tao Jianrong1ORCID,Shen Xudong1ORCID,Lyu Tangjie1ORCID,Fan Changjie1ORCID,Cui Peng2ORCID

Affiliation:

1. Fuxi AI Lab, NetEase Inc., Hangzhou, China

2. Tsinghua University, Beijing, China

Publisher

ACM

Reference49 articles.

1. Jaehuyn Ahn . 2020. A Survey on Churn Analysis. ArXiv abs/2010.13119 ( 2020 ). Jaehuyn Ahn. 2020. A Survey on Churn Analysis. ArXiv abs/2010.13119 (2020).

2. Dynamic churn prediction framework with more effective use of rare event data: The case of private banking

3. Alejandro Barredo Arrieta , Natalia Díaz-Rodríguez , Javier Del Ser , Adrien Ben- netot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al . 2020 . Explainable Artificial Intelligence (XAI): Concepts , taxonomies, opportunities and challenges toward responsible AI. In- for mation fusion 58 (2020), 82--115. Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Ben- netot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-López, Daniel Molina, Richard Benjamins, et al . 2020. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. In- formation fusion 58 (2020), 82--115.

4. Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability

5. Zhengping Che , Sanjay Purushotham , Robinder Khemani , and Yan Liu . 2016. In- terpretable deep models for ICU outcome prediction . In AMIA annual symposium proceedings , Vol. 2016 . American Medical Informatics Association , 371. Zhengping Che, Sanjay Purushotham, Robinder Khemani, and Yan Liu. 2016. In- terpretable deep models for ICU outcome prediction. In AMIA annual symposium proceedings, Vol. 2016. American Medical Informatics Association, 371.

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