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1 Ergebnisse
1
Multi-Interactive Attention Network for Fine-grained Featur..:
, In:
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
,
Zhang, Kai
;
Qian, Hao
;
Cui, Qing
... - p. 984-992 , 2021
Link:
https://dl.acm.org/doi/10.1145/3437963.3441761
RT T1 <cTitle>Proceedings of the 14th ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3441761&Exemplar=1&LAN=DE A1 Zhang, Kai A1 Qian, Hao A1 Cui, Qing A1 Liu, Qi A1 Li, Longfei A1 Zhou, Jun A1 Ma, Jianhui A1 Chen, Enhong PB ACM YR 2021 K1 CTR prediction K1 interactive attention network K1 recommendation K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 984 OP 992 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3437963.3441761 DO https://dl.acm.org/doi/10.1145/3437963.3441761 SF ELIB - SuUB Bremen
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