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1 Ergebnisse
1
Capturing Performance and Privacy by Assembling Avengers of..:
, In:
Proceedings of the Recommender Systems Challenge 2023
,
Kim, Taehee
;
Baek, Seungyun
;
Jeon, Taehyeon
... - p. 28-32 , 2023
Link:
https://dl.acm.org/doi/10.1145/3626221.3627286
RT T1
Proceedings of the Recommender Systems Challenge 2023
: T1
Capturing Performance and Privacy by Assembling Avengers of Online Advertising
UL https://suche.suub.uni-bremen.de/peid=acm-3627286&Exemplar=1&LAN=DE A1 Kim, Taehee A1 Baek, Seungyun A1 Jeon, Taehyeon A1 Jung, Hojin A1 Kim, Joonhong A1 Lee, Taeho PB ACM YR 2023 K1 ACM RecSys Challenge 2023 K1 Ensemble K1 Feature Engineering K1 Gradient Boosting for Decision Trees K1 Multi-task Learning K1 Neural Networks K1 Online Advertising K1 Recommender Systems K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 World Wide Web K1 Online advertising K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 28 OP 32 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626221.3627286 DO https://dl.acm.org/doi/10.1145/3626221.3627286 SF ELIB - SuUB Bremen
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