QF-RNN: QI-Matrix Factorization Based RNN for Time-Aware Service Recommendation.
Xing WuYushun FanJia ZhangHaozhe LinJunqi ZhangPublished in: SCC (2019)
Keyphrases
- matrix factorization
- recurrent neural networks
- collaborative filtering
- recommender systems
- nearest neighbor
- item recommendation
- data sparsity
- cold start problem
- low rank
- latent factor models
- nonnegative matrix factorization
- factorization methods
- negative matrix factorization
- missing data
- implicit feedback
- tensor factorization
- recommendation systems
- neural network
- personalized recommendation
- user ratings
- stochastic gradient descent
- factor analysis
- rating prediction
- data matrix
- data sets
- latent factors
- training set
- personalized ranking
- probabilistic matrix factorization
- cold start
- convex optimization
- variational bayesian
- knn