Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network.
Tao DaiTianyu GaoLi ZhuXiaoyan CaiShirui PanPublished in: IEEE Access (2018)
Keyphrases
- matrix factorization
- heterogeneous networks
- low rank and sparse
- low rank
- collaborative filtering
- recommender systems
- item recommendation
- low rank matrix
- link prediction
- latent factor models
- negative matrix factorization
- missing data
- nonnegative matrix factorization
- multiple types
- user profiles
- recommendation systems
- convex optimization
- social networks
- data matrix
- feature selection
- user interests
- user preferences
- image classification