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STARDOM: Semantic Aware Deep Hierarchical Forecasting Model..:

, In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management,

Lu, Yucheng ; Ji, Qiang ; Wang, Liang... - p. 3352-3360 , 2022

Link: https://dl.acm.org/doi/10.1145/3511808.3557102

RT 
T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3557102&Exemplar=1&LAN=DE
				
A1 Lu, Yucheng
A1 Ji, Qiang
A1 Wang, Liang
A1 Wu, Tianshu
A1 Deng, Hongbo
A1 Xu, Jian
A1 Zheng, Bo
PB ACM
YR 2022
K1 deep learning
K1 hierarchical structure
K1 time series forecast
K1 Information systems
K1 Information systems applications
K1 Computational advertising
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Information extraction
K1 Machine learning
K1 Machine learning approaches
K1 Learning latent representations
K1 World Wide Web
K1 Web applications
K1 Electronic commerce
K1 E-commerce infrastructure
SP 3352
OP 3360
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557102
DO https://dl.acm.org/doi/10.1145/3511808.3557102
SF ELIB - SuUB Bremen

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