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Promotheus : An End-to-End Machine Learning Framework fo..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Loh, Eleanor
;
Khandelwal, Jalaj
;
Regan, Brian
. - p. 3447-3457 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539148
RT T1
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Promotheus : An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce
UL https://suche.suub.uni-bremen.de/peid=acm-3539148&Exemplar=1&LAN=DE A1 Loh, Eleanor A1 Khandelwal, Jalaj A1 Regan, Brian A1 Little, Duncan A. PB ACM YR 2022 K1 dynamic pricing K1 e-commerce K1 markdown optimization K1 Applied computing K1 Operations research K1 Consumer products K1 Forecasting K1 Decision analysis K1 Multi-criterion optimization and decision-making K1 Electronic commerce K1 Online auctions K1 Mathematics of computing K1 Mathematical software K1 Statistical software SP 3447 OP 3457 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539148 DO https://dl.acm.org/doi/10.1145/3534678.3539148 SF ELIB - SuUB Bremen
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