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1 Ergebnisse
1
AutoFeature: Searching for Feature Interactions and Their A..:
, In:
Proceedings of the 29th ACM International Conference on Information & Knowledge Management
,
Khawar, Farhan
;
Hang, Xu
;
Tang, Ruiming
... - p. 625-634 , 2020
Link:
https://dl.acm.org/doi/10.1145/3340531.3411912
RT T1 <cTitle>Proceedings of the 29th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3411912&Exemplar=1&LAN=DE A1 Khawar, Farhan A1 Hang, Xu A1 Tang, Ruiming A1 Liu, Bin A1 Li, Zhenguo A1 He, Xiuqiang PB ACM YR 2020 K1 CTR prediction K1 click-through rate prediction K1 feature generation K1 feature modeling K1 neural architecture search K1 recommender systems K1 Information systems K1 Information systems applications K1 Data mining K1 Collaborative filtering K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 World Wide Web K1 Web searching and information discovery K1 Personalization SP 625 OP 634 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3340531.3411912 DO https://dl.acm.org/doi/10.1145/3340531.3411912 SF ELIB - SuUB Bremen
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