Personalized LSTM Based Matrix Factorization for Online QoS Prediction.
Ruibin XiongJian WangZhongqiao LiBing LiPatrick C. K. HungPublished in: ICWS (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- low rank
- prediction accuracy
- negative matrix factorization
- nonnegative matrix factorization
- factorization methods
- quality of service
- recurrent neural networks
- missing data
- personalized recommendation
- variational bayesian
- data matrix
- data sparsity
- factor analysis
- item recommendation
- online learning
- user profiles
- stochastic gradient descent
- latent factors
- tensor factorization
- personalized ranking
- probabilistic matrix factorization