SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering.
Jianping ShiNaiyan WangYang XiaDit-Yan YeungIrwin KingJiaya JiaPublished in: IJCAI (2013)
Keyphrases
- matrix factorization
- collaborative filtering
- tensor factorization
- recommender systems
- low rank matrix
- sparse non negative
- low rank
- data sparsity
- latent factors
- nonnegative matrix factorization
- factorization methods
- factor analysis
- probabilistic matrix factorization
- data matrix
- sparsity constraints
- negative matrix factorization
- stochastic gradient descent
- user profiles
- latent factor models
- user preferences
- recommendation systems
- item recommendation
- high dimensional
- sparse representation
- missing data
- cold start problem
- factorization method
- sparse coding
- pairwise
- dictionary learning