Two Purposes for Matrix Factorization: A Historical Appraisal.
Lawrence J. HubertJacqueline J. MeulmanWillem J. HeiserPublished in: SIAM Rev. (2000)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- missing data
- low rank
- factor analysis
- factorization methods
- data matrix
- negative matrix factorization
- implicit feedback
- nonnegative matrix factorization
- item recommendation
- stochastic gradient descent
- personalized ranking
- data sparsity
- variational bayesian
- latent factor models
- low rank matrix
- tensor factorization
- latent factors
- factorization method
- probabilistic matrix factorization
- object recognition