A Parallelized, Momentum-incorporated Stochastic Gradient Descent Scheme for Latent Factor Analysis on High-dimensional and Sparse Matrices from Recommender Systems.
Wen QinHao WuQingkuan LaiChaobin WangPublished in: SMC (2019)
Keyphrases
- 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