Enhancing Matrix Factorization-based Recommender Systems via Graph Neural Networks.
Zhiwei GuoDian MengHuiyan ZhangHeng WangKeping YuPublished in: ISPA/BDCloud/SocialCom/SustainCom (2021)
Keyphrases
- matrix factorization
- recommender systems
- neural network
- collaborative filtering
- data sparsity
- low rank
- cold start problem
- factorization methods
- random walk
- pattern recognition
- nonnegative matrix factorization
- variational bayesian
- factor analysis
- negative matrix factorization
- user preferences
- item recommendation
- probabilistic matrix factorization
- sparse non negative
- stochastic gradient descent
- personalized recommendation
- missing data
- cold start
- user profiles
- rating prediction
- implicit feedback
- probabilistic model
- low rank matrix factorization