FASTCF: FPGA-based Accelerator for STochastic-Gradient-Descent-based Collaborative Filtering

    FPGA, pp. 259-268, 2018.

    Cited by: 3|Bibtex|Views18|Links
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    Abstract:

    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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