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1 Ergebnisse
1
User Response Models to Improve a REINFORCE Recommender Sys..:
, In:
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
,
Chen, Minmin
;
Chang, Bo
;
Xu, Can
. - p. 121-129 , 2021
Link:
https://dl.acm.org/doi/10.1145/3437963.3441764
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>User Response Models to Improve a REINFORCE Recommender System</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441764&Exemplar=1&LAN=DE A1 Chen, Minmin A1 Chang, Bo A1 Xu, Can A1 Chi, Ed H. PB ACM YR 2021 K1 auxiliary tasks K1 recommender systems K1 reinforcement learning K1 user response models K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Sequential decision making K1 Learning settings K1 Batch learning K1 Multi-task learning K1 Transfer learning SP 121 OP 129 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3437963.3441764 DO https://dl.acm.org/doi/10.1145/3437963.3441764 SF ELIB - SuUB Bremen
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