Are Latent Factor Regression and Sparse Regression Adequate?
Jianqing FanZhipeng LouMengxin YuPublished in: CoRR (2022)
Keyphrases
- sparse regression
- matrix factorization
- low rank
- latent factors
- feature selection and classification
- linear regression
- factor analysis
- implicit feedback
- collaborative filtering
- feature selection
- latent dirichlet allocation
- negative matrix factorization
- recommender systems
- feature ranking
- eye tracking
- latent variables
- probabilistic latent semantic analysis
- active learning
- machine learning