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1 Ergebnisse
1
CAN : Feature Co-Action Network for Click-Through Rate P..:
, In:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
,
Bian, Weijie
;
Wu, Kailun
;
Ren, Lejian
... - p. 57-65 , 2022
Link:
https://dl.acm.org/doi/10.1145/3488560.3498435
RT T1
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
: T1
CAN : Feature Co-Action Network for Click-Through Rate Prediction
UL https://suche.suub.uni-bremen.de/peid=acm-3498435&Exemplar=1&LAN=DE A1 Bian, Weijie A1 Wu, Kailun A1 Ren, Lejian A1 Pi, Qi A1 Zhang, Yujing A1 Xiao, Can A1 Sheng, Xiang-Rong A1 Zhu, Yong-Nan A1 Chan, Zhangming A1 Mou, Na A1 Luo, Xinchen A1 Xiang, Shiming A1 Zhou, Guorui A1 Zhu, Xiaoqiang A1 Deng, Hongbo PB ACM YR 2022 K1 ctr prediction K1 feature interaction K1 neural networks K1 Information systems K1 Information systems applications K1 Computational advertising SP 57 OP 65 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3488560.3498435 DO https://dl.acm.org/doi/10.1145/3488560.3498435 SF ELIB - SuUB Bremen
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