Orthogonal graph-regularized matrix factorization and its application for recommendation.
Zhenfeng ZhuPeilu XinShikui WeiYao ZhaoPublished in: ICME (2013)
Keyphrases
- sparse non negative
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- rating prediction
- nonnegative matrix factorization
- factor analysis
- negative matrix factorization
- recommendation systems
- factorization methods
- missing data
- personalized recommendation
- implicit feedback
- user preferences
- user ratings
- data matrix
- latent factors
- tensor factorization
- variational bayesian
- least squares
- cold start
- personalized ranking
- transfer learning
- user profiles
- natural images
- multiscale
- low rank matrix
- stochastic gradient descent
- user interests
- link prediction
- random walk