Exploiting User Feedbacks in Matrix Factorization for Recommender Systems.
Haiyang ZhangNikola S. NikolovIvan GanchevPublished in: MEDI (2017)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- factorization methods
- cold start problem
- data sparsity
- negative matrix factorization
- information overload
- implicit feedback
- nonnegative matrix factorization
- variational bayesian
- item recommendation
- user preferences
- tensor factorization
- factor analysis
- factorization method
- probabilistic matrix factorization
- stochastic gradient descent
- data matrix
- personalized recommendation
- recommendation algorithms
- missing data
- recommendation quality
- user feedback
- user behavior
- personalized ranking