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1 Ergebnisse
1
Learning to Infer User Hidden States for Online Sequential ..:
, In:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
,
Peng, Zhaoqing
;
Jin, Junqi
;
Luo, Lan
... - p. 2677-2684 , 2020
Link:
https://dl.acm.org/doi/10.1145/3340531.3412721
RT T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Learning to Infer User Hidden States for Online Sequential Advertising</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3412721&Exemplar=1&LAN=DE A1 Peng, Zhaoqing A1 Jin, Junqi A1 Luo, Lan A1 Yang, Yaodong A1 Luo, Rui A1 Wang, Jun A1 Zhang, Weinan A1 Xu, Haiyang A1 Xu, Miao A1 Yu, Chuan A1 Luo, Tiejian A1 Li, Han A1 Xu, Jian A1 Gai, Kun PB ACM YR 2020 K1 online advertising K1 partially observable markov decision process K1 Theory of computation K1 Theory and algorithms for application domains K1 Machine learning theory K1 Reinforcement learning K1 Sequential decision making K1 Information systems K1 World Wide Web K1 Online advertising K1 Display advertising SP 2677 OP 2684 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3412721 DO https://dl.acm.org/doi/10.1145/3340531.3412721 SF ELIB - SuUB Bremen
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