CGMF: Coupled Group-Based Matrix Factorization for Recommender System.
Fangfang LiGuandong XuLongbing CaoXiaozhong FanZhendong NiuPublished in: WISE (1) (2013)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- cold start problem
- implicit feedback
- user preferences
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- factorization methods
- recommendation quality
- variational bayesian
- data sparsity
- item recommendation
- rating prediction
- personalized ranking
- missing data
- tensor factorization
- data matrix
- image classification
- user profiles
- independent component analysis
- linear combination
- personalized recommendation
- recommendation systems
- user feedback
- high order