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1 Ergebnisse
1
MiNet : Mixed Interest Network for Cross-Domain Click-Th..:
, In:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
,
Ouyang, Wentao
;
Zhang, Xiuwu
;
Zhao, Lei
... - p. 2669-2676 , 2020
Link:
https://dl.acm.org/doi/10.1145/3340531.3412728
RT T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>MiNet : Mixed Interest Network for Cross-Domain Click-Through Rate Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3412728&Exemplar=1&LAN=DE A1 Ouyang, Wentao A1 Zhang, Xiuwu A1 Zhao, Lei A1 Luo, Jinmei A1 Zhang, Yu A1 Zou, Heng A1 Liu, Zhaojie A1 Du, Yanlong PB ACM YR 2020 K1 click-through rate prediction K1 computational advertising K1 cross-domain click-through rate prediction K1 deep learning K1 online advertising K1 Information systems K1 World Wide Web K1 Online advertising K1 Information systems applications K1 Computational advertising SP 2669 OP 2676 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3412728 DO https://dl.acm.org/doi/10.1145/3340531.3412728 SF ELIB - SuUB Bremen
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