Accelerating Recommender Systems using GPUs

dc.contributor.author	André Valente Rodrigues	en
dc.contributor.author	Alípio Jorge	en
dc.contributor.author	Inês Dutra	en
dc.date.accessioned	2017-12-19T19:16:24Z
dc.date.available	2017-12-19T19:16:24Z
dc.date.issued	2015	en
dc.description.abstract	We describe GPU implementations of the matrix recommender algorithms CCD++ and ALS. We compare the processing time and predictive ability of the GPU implementations with existing multi- core versions of the same algorithms. Results on the GPU are better than the results of the multi- core versions (maximum speedup of 14.8).	en
dc.identifier.uri	http://repositorio.inesctec.pt/handle/123456789/4311
dc.identifier.uri	http://dx.doi.org/10.1145/2695664.2695850	en
dc.language	eng	en
dc.relation	6210	en
dc.relation	4981	en
dc.relation	5139	en
dc.rights	info:eu-repo/semantics/openAccess	en
dc.title	Accelerating Recommender Systems using GPUs	en
dc.type	conferenceObject	en
dc.type	Publication	en

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