Self-paced learning enhanced neural matrix factorization for noise-aware recommendation.
Zhen LiuXiaodong FengYecheng WangWenbo ZuoPublished in: Knowl. Based Syst. (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- missing data
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- factor analysis
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- probabilistic matrix factorization
- implicit feedback
- rating prediction
- recommendation systems
- data matrix
- variational bayesian
- tensor factorization
- user preferences
- personalized recommendation
- stochastic gradient descent
- missing values
- user profiles
- transfer learning
- personalized ranking
- least squares