FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering
FPGA, pp. 259-268, 2018.
Sparse matrix factorization using Stochastic Gradient Descent (SGD) is a popular technique for deriving latent features from observations. SGD is widely used for Collaborative Filtering (CF), itself a well-known machine learning technique for recommender systems. In this paper, we develop an FPGA-based accelerator, FASTCF, to accelerate t...More
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Best Paper of FPGA, 2018