Efficient and High-quality Recommendations via Momentum-incorporated Parallel Stochastic Gradient De

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A recommender system(RS)relying on latent factor analysis usually adopts stochastic gradient descent(SGD)as its learning algorithm.However,owing to its serial mechanism,an SGD algorithm suffers from low efficiency and scalability when handling large-scale
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