Accelerating Recommender Systems using GPUs

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

André Valente Rodrigues (Author) Other; Alípio Jorge (Author) FCUP; Inês Dutra (Author) Other

Conference proceedings International

Title: Proceedings of the 30th Annual ACM Symposium on Applied Computing, Salamanca, Spain, April 13-17, 2015

Pages: 879-884

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-00G-SXH

DOI: 10.1145/2695664.2695850

Abstract (EN): 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).

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6