Hybrid collaborative filtering using matrix factorization and XGBoost for movie recommendation.
Gopal BeheraSanjaya Kumar PandaMeng-Yen HsiehKuan-Ching LiPublished in: Comput. Stand. Interfaces (2024)
Keyphrases
- movie recommendation
- collaborative filtering
- matrix factorization
- recommender systems
- content based filtering
- low rank
- data sparsity
- negative matrix factorization
- probabilistic matrix factorization
- user preferences
- factor analysis
- nonnegative matrix factorization
- personalized recommendation
- item recommendation
- tensor factorization
- factorization methods
- stochastic gradient descent
- information filtering
- topic modeling
- transfer learning
- cold start problem
- recommendation systems
- latent factor models
- variational bayesian
- user ratings
- implicit feedback
- user profiles