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Kernelized Bayesian Matrix Factorization

Published in arXiv (Cornell University) • Nov 6, 2012
NobleIDNI4P98W05R67S76
Authors:
Mehmet Gönen
,
Suleiman A. Khan
,
Samuel Kaski

Abstract

We extend kernelized matrix factorization with a fully Bayesian treatment and with an ability to work with multiple side information sources expressed as different kernels. Kernel functions have been introduced to matrix factorization to integrate side information about the rows and columns (e.g., o...

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