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Accelerating Recommender Systems using GPUs
November 08, 2015 Β· Declared Dead Β· π ACM Symposium on Applied Computing
"No code URL or promise found in abstract"
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Authors
AndrΓ© Valente Rodrigues, AlΓpio Jorge, InΓͺs Dutra
arXiv ID
1511.02433
Category
cs.IR: Information Retrieval
Cross-listed
cs.DC
Citations
12
Venue
ACM Symposium on Applied Computing
Last Checked
4 months ago
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).
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