Joint user knowledge and matrix factorization for recommender systems.
Yonghong YuYang GaoHao WangRuili WangPublished in: World Wide Web (2018)
Keyphrases
- recommender systems
- matrix factorization
- collaborative filtering
- information overload
- user model
- cold start problem
- item recommendation
- user preferences
- data sparsity
- low rank
- user context
- negative matrix factorization
- recommendation quality
- recommendation systems
- user ratings
- cold start
- implicit feedback
- variational bayesian
- user profiles
- data matrix
- stochastic gradient descent
- nonnegative matrix factorization
- probabilistic matrix factorization
- factorization methods
- user interests
- factor analysis
- tensor factorization
- unsupervised learning
- recommendation algorithms
- user feedback
- prior knowledge
- user interface
- social networks