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1 Ergebnisse
1
TWIN: TWo-stage Interest Network for Lifelong User Behavior..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Chang, Jianxin
;
Zhang, Chenbin
;
Fu, Zhiyi
... - p. 3785-3794 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599922
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599922&Exemplar=1&LAN=DE A1 Chang, Jianxin A1 Zhang, Chenbin A1 Fu, Zhiyi A1 Zang, Xiaoxue A1 Guan, Lin A1 Lu, Jing A1 Hui, Yiqun A1 Leng, Dewei A1 Niu, Yanan A1 Song, Yang A1 Gai, Kun PB ACM YR 2023 K1 click-through rate prediction K1 long sequential user behavior K1 recommender system K1 user interest modeling K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Learning to rank K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Retrieval tasks and goals K1 Recommender systems SP 3785 OP 3794 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599922 DO https://dl.acm.org/doi/10.1145/3580305.3599922 SF ELIB - SuUB Bremen
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