Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts.
Je Hyeong HongAndrew W. FitzgibbonPublished in: ICCV (2015)
Keyphrases
- matrix factorization
- stochastic gradient descent
- collaborative filtering
- recommender systems
- missing data
- low rank
- factor analysis
- negative matrix factorization
- data sparsity
- factorization methods
- implicit feedback
- low dimensional
- loss function
- item recommendation
- nonnegative matrix factorization
- tensor factorization
- variational bayesian
- high dimensional data
- multiscale
- personalized ranking
- latent factors
- constrained optimization
- high dimensional