Two-level matrix factorization for recommender systems.
Fangfang LiGuandong XuLongbing CaoPublished in: Neural Comput. Appl. (2016)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- probabilistic matrix factorization
- variational bayesian
- factor analysis
- user preferences
- data sparsity
- user profiles
- recommendation quality
- information overload
- implicit feedback
- stochastic gradient descent
- pairwise
- cold start problem
- personalized recommendation
- user feedback
- binary matrix
- item recommendation
- recommendation systems
- data matrix
- factorization method
- latent factor models
- recommendation algorithms
- user interests