An Incremental-and-Static-Combined Scheme for Matrix-Factorization-Based Collaborative Filtering.
Xin LuoMengChu ZhouHareton LeungYunni XiaQingsheng ZhuZhu-Hong YouShuai LiPublished in: IEEE Trans Autom. Sci. Eng. (2016)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- data sparsity
- probabilistic matrix factorization
- negative matrix factorization
- missing data
- item recommendation
- factor analysis
- nonnegative matrix factorization
- data matrix
- variational bayesian
- implicit feedback
- factorization methods
- transfer learning
- cold start problem
- personalized ranking
- cold start
- latent factor models
- image classification