A novel constrained non-negative matrix factorization method based on users and items pairwise relationship for recommender systems.
Mehdi Hosseinzadeh AghdamPublished in: Expert Syst. Appl. (2022)
Keyphrases
- factorization method
- recommender systems
- matrix factorization
- collaborative filtering
- tensor factorization
- pairwise
- singular value decomposition
- user profiles
- recovering shape
- negative matrix factorization
- structure from motion
- recommendation systems
- recommendation algorithms
- implicit feedback
- measurement matrix
- similarity measure
- missing data
- semi supervised
- high dimensional