Joint Matrix Factorization: A Novel Approach for Recommender System.
Shaolun SunYuetong XiaoYue HuangSen ZhangHeng ZhengWendong XiaoXiaoli SuPublished in: IEEE Access (2020)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- data sparsity
- implicit feedback
- negative matrix factorization
- cold start problem
- factorization methods
- nonnegative matrix factorization
- factor analysis
- personalized recommendation
- user feedback
- item recommendation
- user preferences
- variational bayesian
- recommendation quality
- latent factor models
- stochastic gradient descent
- user profiles
- multiscale
- personalized ranking
- user interests
- feature space
- tensor factorization
- latent factors
- factorization method
- data matrix
- missing data