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1 Ergebnisse
1
CausalInt: Causal Inspired Intervention for Multi-Scenario ..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Wang, Yichao
;
Guo, Huifeng
;
Chen, Bo
... - p. 4090-4099 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539221
RT T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3539221&Exemplar=1&LAN=DE A1 Wang, Yichao A1 Guo, Huifeng A1 Chen, Bo A1 Liu, Weiwen A1 Liu, Zhirong A1 Zhang, Qi A1 He, Zhicheng A1 Zheng, Hongkun A1 Yao, Weiwei A1 Zhang, Muyu A1 Dong, Zhenhua A1 Tang, Ruiming PB ACM YR 2022 K1 invariant representation K1 multi-scenario K1 negative mitigating K1 transfer learning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Transfer learning K1 Machine learning approaches K1 Neural networks SP 4090 OP 4099 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539221 DO https://dl.acm.org/doi/10.1145/3534678.3539221 SF ELIB - SuUB Bremen
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