Multi-source Data Multi-task Learning for Profiling Players in Online Games
Published in 2020 IEEE Conference on Games (CoG`2020), 2020
Recommended citation: Zhao, Shiwei, Runze Wu, Jianrong Tao, Manhu Qu, Hao Li, and Changjie Fan. "Multi-source Data Multi-task Learning for Profiling Players in Online Games." In 2020 IEEE Conference on Games (CoG 2020), pp. 104-111. IEEE, 2020. https://ieeexplore.ieee.org/abstract/document/9231585/
This paper is about profiling game players (e.g., churn and payment) by using multi-source data in a multi-task fashion..
Recommended citation: Zhao, Shiwei, Runze Wu, Jianrong Tao, Manhu Qu, Hao Li, and Changjie Fan. (2020) "Multi-source Data Multi-task Learning for Profiling Players in Online Games." In 2020 IEEE Conference on Games (CoG 2020).