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1 Ergebnisse
1
Linked Variational AutoEncoders for Inferring Substitutable..:
, In:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
,
Rakesh, Vineeth
;
Wang, Suhang
;
Shu, Kai
. - p. 438-446 , 2019
Link:
https://dl.acm.org/doi/10.1145/3289600.3290963
RT T1 <cTitle>Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3290963&Exemplar=1&LAN=DE A1 Rakesh, Vineeth A1 Wang, Suhang A1 Shu, Kai A1 Liu, Huan PB ACM YR 2019 K1 deep learning K1 graphical model K1 link prediction K1 recommendation K1 variational autoencoder K1 Information systems K1 Information systems applications K1 Data mining K1 Collaborative filtering K1 Computing methodologies K1 Machine learning SP 438 OP 446 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3289600.3290963 DO https://dl.acm.org/doi/10.1145/3289600.3290963 SF ELIB - SuUB Bremen
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