Dual-regularized matrix factorization with deep neural networks for recommender systems.
Hao WuZhengxin ZhangKun YueBinbin ZhangJun HeLiangchen SunPublished in: Knowl. Based Syst. (2018)
Keyphrases
- matrix factorization
- recommender systems
- neural network
- collaborative filtering
- low rank
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- data sparsity
- factor analysis
- item recommendation
- data matrix
- cold start problem
- variational bayesian
- probabilistic matrix factorization
- implicit feedback
- stochastic gradient descent
- latent factor models
- user interests
- least squares
- personalized ranking
- objective function
- personalized recommendation
- missing data
- cold start
- user ratings
- recommendation systems
- recommendation quality
- convex optimization
- denoising
- probabilistic model
- low rank matrix factorization