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1 Ergebnisse
1
Sequential Variational Autoencoders for Collaborative Filte..:
, In:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
,
Sachdeva, Noveen
;
Manco, Giuseppe
;
Ritacco, Ettore
. - p. 600-608 , 2019
Link:
https://dl.acm.org/doi/10.1145/3289600.3291007
RT T1 <cTitle>Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining</cTitle>: T1 <Title>Sequential Variational Autoencoders for Collaborative Filtering</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3291007&Exemplar=1&LAN=DE A1 Sachdeva, Noveen A1 Manco, Giuseppe A1 Ritacco, Ettore A1 Pudi, Vikram PB ACM YR 2019 K1 recurrent networks K1 sequence modeling K1 variational autoencoders K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Information systems applications K1 Data mining K1 Collaborative filtering K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Machine learning approaches K1 Neural networks K1 Learning in probabilistic graphical models K1 Latent variable models K1 Ranking SP 600 OP 608 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3289600.3291007 DO https://dl.acm.org/doi/10.1145/3289600.3291007 SF ELIB - SuUB Bremen
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