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Predicting Different Types of Conversions with Multi-Task L..:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,

Pan, Junwei ; Mao, Yizhi ; Ruiz, Alfonso Lobos.. - p. 2689-2697 , 2019

Link: https://dl.acm.org/doi/10.1145/3292500.3330783

RT 
T1 <cTitle>Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3330783&Exemplar=1&LAN=DE
				
A1 Pan, Junwei
A1 Mao, Yizhi
A1 Ruiz, Alfonso Lobos
A1 Sun, Yu
A1 Flores, Aaron
PB ACM
YR 2019
K1 conversion prediction
K1 factorization machines
K1 multi-task learning
K1 online advertising
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Factorization methods
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Algorithmic game theory and mechanism design
K1 Computational advertising theory
K1 Information systems
K1 Information systems applications
K1 Computational advertising
SP 2689
OP 2697
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330783
DO https://dl.acm.org/doi/10.1145/3292500.3330783
SF ELIB - SuUB Bremen

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