Deep embedded clustering with matrix factorization based user rating prediction for collaborative recommendation.
Jagannath E. NalavadeChandra Sekhar KolliSanjay Nakharu Prasad KumarPublished in: Multiagent Grid Syst. (2023)
Keyphrases
- matrix factorization
- collaborative recommendation
- collaborative filtering
- cold start problem
- user ratings
- recommender systems
- rating prediction
- data sparsity
- nonnegative matrix factorization
- prediction accuracy
- personalized recommendation
- user preferences
- missing data
- user profiling
- negative matrix factorization
- spreading activation
- cold start
- association rules
- information overload
- user profiles
- user interests
- document clustering
- unsupervised learning
- recommendation systems
- spectral clustering
- user interaction
- data points
- implicit feedback
- transfer learning
- feature selection