Group-sparse Embeddings in Collective Matrix Factorization.
Arto KlamiGuillaume BouchardAbhishek TripathiPublished in: ICLR (2014)
Keyphrases
- matrix factorization
- collaborative filtering
- low rank matrix
- tensor factorization
- low rank
- sparse non negative
- recommender systems
- factorization methods
- stochastic gradient descent
- missing data
- nonnegative matrix factorization
- latent factors
- data sparsity
- latent space
- personalized ranking
- negative matrix factorization
- factor analysis
- high dimensional
- low dimensional
- variational bayesian
- data matrix
- sparse matrix
- sparse coding
- implicit feedback
- sparsity constraints
- factorization method
- data sets
- eye tracking
- high dimensional data
- feature extraction