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).
['André Valente Rodrigues', 'Alípio Mário Jorge', 'Inês de Castro Dutra']
Accelerating recommender systems using GPUs