FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering.
Enyue YangYunfeng HuangFeng LiangWeike PanZhong MingPublished in: Knowl. Based Syst. (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- low rank
- negative matrix factorization
- factor analysis
- probabilistic matrix factorization
- nonnegative matrix factorization
- cold start problem
- stochastic gradient descent
- personalized ranking
- factorization methods
- variational bayesian
- user preferences
- item recommendation
- data matrix
- rating prediction
- missing data
- face recognition
- tensor factorization
- implicit feedback
- recommendation quality
- personalized recommendation
- recommendation systems
- transfer learning
- factorization method
- latent factor models
- prediction accuracy
- cross domain collaborative filtering