Deep Matrix Factorization Models for Recommender Systems.
Hong-Jian XueXinyu DaiJianbing ZhangShujian HuangJiajun ChenPublished in: IJCAI (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- factorization methods
- probabilistic matrix factorization
- latent factor models
- low rank
- factor analysis
- data sparsity
- cold start problem
- implicit feedback
- negative matrix factorization
- tensor factorization
- latent factors
- statistical models
- nonnegative matrix factorization
- model selection
- missing data
- user preferences
- face recognition
- item recommendation
- dimensionality reduction
- visual features
- recommendation quality
- data matrix
- recommendation systems
- user profiles