A hierarchical model for ordinal matrix factorization.
Ulrich PaquetBlaise ThomsonOle WintherPublished in: Stat. Comput. (2012)
Keyphrases
- hierarchical model
- matrix factorization
- collaborative filtering
- latent variables
- recommender systems
- hierarchical models
- human body
- missing data
- low rank
- negative matrix factorization
- nonnegative matrix factorization
- factorization methods
- factor analysis
- data sparsity
- stochastic gradient descent
- personalized ranking
- probabilistic matrix factorization
- exact inference
- latent factor models
- unsupervised learning
- item recommendation
- knowledge discovery
- prior knowledge