Low-Rank and Sparse Matrix Completion for Recommendation.
Zhi-Lin ZhaoLing HuangChang-Dong WangJian-Huang LaiPhilip S. YuPublished in: ICONIP (5) (2017)
Keyphrases
- matrix completion
- low rank
- low rank and sparse
- collaborative filtering
- matrix factorization
- convex optimization
- linear combination
- recommender systems
- low rank matrix
- missing data
- singular value decomposition
- high dimensional data
- high order
- semi supervised
- convex relaxation
- singular values
- data matrix
- low rank approximation
- missing values
- machine learning algorithms
- bayesian networks
- signal recovery