Joint User Knowledge and Matrix Factorization for Recommender Systems.
Yonghong YuYang GaoHao WangRuili WangPublished in: WISE (1) (2016)
Keyphrases
- recommender systems
- matrix factorization
- collaborative filtering
- information overload
- user model
- item recommendation
- cold start problem
- user preferences
- implicit feedback
- low rank
- recommendation quality
- data sparsity
- user profiles
- negative matrix factorization
- user interests
- user context
- stochastic gradient descent
- prior knowledge
- user ratings
- nonnegative matrix factorization
- factor analysis
- factorization methods
- probabilistic matrix factorization
- recommendation algorithms
- latent factor models
- user interface
- variational bayesian
- missing data
- data matrix
- cold start
- user feedback