Collaborative Filtering Based on Non-Negative Matrix Factorization for Programming Problem Recommendation.
Muepu Mukendi DanielYutaka WatanobeMd. Mostafizer RahmanPublished in: IEA/AIE (1) (2023)
Keyphrases
- collaborative filtering
- negative matrix factorization
- matrix factorization
- recommender systems
- data sparsity
- nonnegative matrix factorization
- recommendation systems
- tensor factorization
- personalized recommendation
- low rank
- recommendation algorithms
- cold start problem
- user preferences
- latent factor models
- user ratings
- collaborative filtering algorithms
- user interests
- sparse representation
- web page recommendation
- content based filtering
- product recommendation
- search engine
- cold start
- implicit feedback
- spectral clustering
- low dimensional
- multiscale
- feature extraction