Multi -View Clustering Using Sparse Non-Negative Matrix Factorization for Recommendation Systems.
Khalil BachiriFaouzi BoufarèsMaria MalekNicoleta RogovschiAli YahyaouyPublished in: ICMLA (2023)
Keyphrases
- matrix factorization
- recommendation systems
- sparse non negative
- multi view clustering
- collaborative filtering
- recommender systems
- multi view
- user preferences
- data sparsity
- nonnegative matrix factorization
- negative matrix factorization
- recommendation quality
- tag recommendation
- pairwise
- probabilistic latent semantic analysis
- learning algorithm
- recommendation algorithms
- user ratings
- object recognition
- prior knowledge
- information retrieval