Scalable Task-Parallel SGD on Matrix Factorization in Multicore Architectures

Recommendation is an indispensable technique especially in e-commerce services such as Amazon or Netflix to provide more preferable items to users. Matrix factorization is a well-known algorithm for recommendation which estimates affinities between users and items solely based on ratings explicitly...

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Bibliographic Details

Published in:	2015 IEEE International Parallel and Distributed Processing Symposium Workshop pp. 1178 - 1184
Main Authors:	Nishioka, Yusuke, Taura, Kenjiro
Format:	Conference Proceeding
Language:	English Japanese
Published:	IEEE 01.05.2015
Subjects:	Convergence Instruction sets Load management Matrix factorization Radiation detectors Recommender systems Scalability Sparse matrices Stochastic gradient descent Synchronization Task parallel model
Online Access:	Get full text
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