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A Difficulty-Aware Framework for Churn Prediction and Inter..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Li, Jiayu
;
Lu, Hongyu
;
Wang, Chenyang
... - p. 943-952 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467277
RT T1
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
: T1
A Difficulty-Aware Framework for Churn Prediction and Intervention in Games
UL https://suche.suub.uni-bremen.de/peid=acm-3467277&Exemplar=1&LAN=DE A1 Li, Jiayu A1 Lu, Hongyu A1 Wang, Chenyang A1 Ma, Weizhi A1 Zhang, Min A1 Zhao, Xiangyu A1 Qi, Wei A1 Liu, Yiqun A1 Ma, Shaoping PB ACM YR 2021 K1 churn intervention K1 churn prediction K1 game difficulty K1 Information systems K1 World Wide Web K1 Web searching and information discovery K1 Personalization K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Web mining K1 Web log analysis K1 Data management systems SP 943 OP 952 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467277 DO https://dl.acm.org/doi/10.1145/3447548.3467277 SF ELIB - SuUB Bremen
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