Coupled Bayesian Matrix Factorization in Recommender Systems.
Xueci ZhaoChengzhang ZhuLizhi ChengPublished in: DSAA (2017)
Keyphrases
- matrix factorization
- recommender systems
- variational bayesian
- collaborative filtering
- low rank
- probabilistic matrix factorization
- nonnegative matrix factorization
- user preferences
- data sparsity
- negative matrix factorization
- cold start problem
- bayesian networks
- factorization methods
- item recommendation
- implicit feedback
- factor analysis
- personalized ranking
- user profiles
- data matrix
- missing data
- personalized recommendation
- stochastic gradient descent
- tensor factorization
- bayesian analysis
- maximum likelihood
- latent factor models
- recommendation algorithms
- user interests
- bayesian inference