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1 Ergebnisse
1
Towards Understanding the Overfitting Phenomenon of Deep Cl..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Zhang, Zhao-Yu
;
Sheng, Xiang-Rong
;
Zhang, Yujing
... - p. 2671-2680 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557479
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557479&Exemplar=1&LAN=DE A1 Zhang, Zhao-Yu A1 Sheng, Xiang-Rong A1 Zhang, Yujing A1 Jiang, Biye A1 Han, Shuguang A1 Deng, Hongbo A1 Zheng, Bo PB ACM YR 2022 K1 click-through rate prediction K1 deep learning K1 overfitting K1 recommender systems K1 sparse data K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Dependable and fault-tolerant systems and networks K1 Redundancy K1 Robotics K1 Networks K1 Network properties K1 Network reliability SP 2671 OP 2680 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557479 DO https://dl.acm.org/doi/10.1145/3511808.3557479 SF ELIB - SuUB Bremen
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