Generalizing matrix factorization through flexible regression priors.
Liang ZhangDeepak AgarwalBee-Chung ChenPublished in: RecSys (2011)
Keyphrases
- matrix factorization
- collaborative filtering
- missing data
- low rank
- recommender systems
- negative matrix factorization
- data sparsity
- stochastic gradient descent
- regression model
- nonnegative matrix factorization
- item recommendation
- factorization methods
- data matrix
- factor analysis
- implicit feedback
- variational bayesian
- model selection
- tensor factorization
- prior knowledge
- face recognition
- probabilistic model
- support vector