Matrix factorization of large scale data using multistage matrix factorization.
Prasad BhavanaVineet PadmanabhanPublished in: Appl. Intell. (2021)
Keyphrases
- matrix factorization
- missing data
- multistage
- collaborative filtering
- latent factors
- data sets
- factor matrices
- low rank
- recommender systems
- negative matrix factorization
- nonnegative matrix factorization
- data analysis
- item recommendation
- face recognition
- data sparsity
- factorization methods
- stochastic gradient descent
- probabilistic matrix factorization
- data matrix
- raw data
- missing values
- high dimensional data
- tensor factorization
- variational bayesian
- data points
- dynamic programming
- reinforcement learning
- personalized ranking
- data mining