Distributed Bayesian Probabilistic Matrix Factorization

Using the matrix factorization technique in machine learning is very common mainly in areas like rec-ommender systems. Despite its high prediction accuracy and its ability to avoid over-fitting of the data, the Bayesian Probabilistic Matrix Factorization algorithm (BPMF) has not been widely used on...

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Veröffentlicht in:	Procedia computer science Jg. 108; S. 1030 - 1039
Hauptverfasser:	Vander Aa, Tom, Chakroun, Imen, Haber, Tom
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 2017
Schlagworte:	Collaborative filtering Machine learning multi-core PGAS Probabilistic matrix factorization algorithm multi-core Collaborative filtering PGAS Probabilistic matrix factorization algorithm Machine learning
ISSN:	1877-0509, 1877-0509
Online-Zugang:	Volltext
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