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1 Ergebnisse
1
Detection of Review Abuse via Semi-Supervised Binary Multi-..:
, In:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Yelundur, Anil R.
;
Chaoji, Vineet
;
Mishra, Bamdev
- p. 2134-2144 , 2019
Link:
https://dl.acm.org/doi/10.1145/3292500.3330678
RT T1
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
: T1
Detection of Review Abuse via Semi-Supervised Binary Multi-Target Tensor Decomposition
UL https://suche.suub.uni-bremen.de/peid=acm-3330678&Exemplar=1&LAN=DE A1 Yelundur, Anil R. A1 Chaoji, Vineet A1 Mishra, Bamdev PB ACM YR 2019 K1 e-commerce K1 reviewers K1 reviews data K1 sellers K1 stochastic partial natural gradients K1 tensor decomposition K1 Mathematics of computing K1 Probability and statistics K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Anomaly detection K1 Machine learning approaches K1 Learning in probabilistic graphical models K1 Latent variable models K1 Maximum a posteriori modeling K1 Machine learning algorithms K1 Regularization K1 Factorization methods K1 Factor analysis K1 Probabilistic algorithms K1 Probabilistic inference problems K1 Bayesian computation K1 Probabilistic representations K1 Nonparametric representations K1 Bayesian nonparametric models SP 2134 OP 2144 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330678 DO https://dl.acm.org/doi/10.1145/3292500.3330678 SF ELIB - SuUB Bremen
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