Keyphrases
- collaborative filtering
- high dimensional
- recommender systems
- regression model
- multi variate
- high dimensionality
- regression algorithm
- high dimensional data
- similarity search
- matrix factorization
- generalized linear models
- estimation problems
- low dimensional
- regression problems
- parameter space
- noisy data
- model selection
- data points
- dimensionality reduction
- recommendation systems
- regression analysis
- user preferences
- data sparsity
- dimension reduction
- linear regression
- regression method
- user interests
- support vector regression
- variable selection
- sparse data
- pearson correlation coefficient
- deal with information overload
- multi dimensional
- support vector
- partial least squares
- personalized recommendation
- input space
- simple linear
- microarray data
- user profiles
- cold start problem
- locally weighted
- web page recommendation
- machine learning
- linear models
- probabilistic matrix factorization
- feature space
- nearest neighbor
- latent factor models
- product recommendation
- regression methods