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A Parallelized, Momentum-incorporated Stochastic Gradient Descent Scheme for Latent Factor Analysis on High-dimensional and Sparse Matrices from Recommender Systems.
Wen Qin
Hao Wu
Qingkuan Lai
Chaobin Wang
Published in:
SMC (2019)
Keyphrases
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factor analysis
matrix factorization
recommender systems
high dimensional
collaborative filtering
low rank
negative matrix factorization
low dimensional
machine learning
missing data
loss function
learning rate
principal components
latent variables
cluster analysis
high dimensional data
dimensionality reduction
nearest neighbor
pattern recognition