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1 Ergebnisse
1
A Framework for Recommending Accurate and Diverse Items Usi..:
, In:
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Sun, Jianing
;
Guo, Wei
;
Zhang, Dengcheng
... - p. 2030-2039 , 2020
Link:
https://dl.acm.org/doi/10.1145/3394486.3403254
RT T1 <cTitle>Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3403254&Exemplar=1&LAN=DE A1 Sun, Jianing A1 Guo, Wei A1 Zhang, Dengcheng A1 Zhang, Yingxue A1 Regol, Florence A1 Hu, Yaochen A1 Guo, Huifeng A1 Tang, Ruiming A1 Yuan, Han A1 He, Xiuqiang A1 Coates, Mark PB ACM YR 2020 K1 bayesian graph neural networks K1 collaborative filtering K1 graph convolution networks K1 recommendation K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 2030 OP 2039 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3394486.3403254 DO https://dl.acm.org/doi/10.1145/3394486.3403254 SF ELIB - SuUB Bremen
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