Theoretically Accurate Regularization Technique for Matrix Factorization based Recommender Systems.
Hao WangPublished in: CSAI (2021)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- stochastic gradient descent
- data sparsity
- negative matrix factorization
- factor analysis
- probabilistic matrix factorization
- nonnegative matrix factorization
- low rank
- cold start problem
- rating prediction
- factorization methods
- user preferences
- user profiles
- variational bayesian
- user feedback
- implicit feedback
- tensor factorization
- item recommendation
- missing data
- latent factors
- personalized recommendation
- original data
- personalized ranking
- user interests