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1 Ergebnisse
1
Markdowns in E-Commerce Fresh Retail: A Counterfactual Pred..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Hua, Junhao
;
Yan, Ling
;
Xu, Huan
. - p. 3022-3031 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467083
RT T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3467083&Exemplar=1&LAN=DE A1 Hua, Junhao A1 Yan, Ling A1 Xu, Huan A1 Yang, Cheng PB ACM YR 2021 K1 counterfactual prediction K1 demand learning K1 dynamic pricing K1 multi-period optimization K1 online marketing K1 Applied computing K1 Operations research K1 Marketing K1 Electronic commerce K1 Online shopping K1 Forecasting K1 Information systems K1 Information systems applications K1 Data mining K1 Decision support systems K1 Online analytical processing K1 Decision analysis K1 Multi-criterion optimization and decision-making K1 Consumer products SP 3022 OP 3031 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467083 DO https://dl.acm.org/doi/10.1145/3447548.3467083 SF ELIB - SuUB Bremen
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