LBMF: Log-Bilinear Matrix Factorization for Recommender Systems.
Yunhui GuoXin WangCongfu XuPublished in: PAKDD (1) (2016)
Keyphrases
- matrix factorization
- recommender systems
- collaborative filtering
- low rank
- negative matrix factorization
- factorization methods
- data sparsity
- nonnegative matrix factorization
- implicit feedback
- recommendation quality
- factor analysis
- probabilistic matrix factorization
- user preferences
- cold start problem
- data matrix
- information overload
- user profiles
- user feedback
- item recommendation
- factorization method
- low rank matrix factorization
- cold start
- user ratings
- personalized recommendation
- recommendation systems
- tensor factorization
- singular value decomposition
- rating prediction
- missing data
- multiscale
- face recognition