Low-rank and sparse matrix factorization with prior relations for recommender systems.
Jie WangLi ZhuTao DaiQiannan XuTianyu GaoPublished in: Appl. Intell. (2021)
Keyphrases
- matrix factorization
- recommender systems
- low rank
- low rank and sparse
- collaborative filtering
- low rank matrix
- cold start problem
- data sparsity
- negative matrix factorization
- nonnegative matrix factorization
- missing data
- implicit feedback
- prior knowledge
- factorization methods
- probabilistic matrix factorization
- data matrix
- convex optimization
- data sets
- user ratings
- prior information
- linear combination