Recommendation Model Based on Asymmetric Neural Matrix Factorization.
Hangyu YanYan TangLei YanPublished in: ICMAI (2019)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- low rank
- negative matrix factorization
- rating prediction
- factor analysis
- recommendation systems
- implicit feedback
- nonnegative matrix factorization
- factorization methods
- data matrix
- tensor factorization
- cold start
- stochastic gradient descent
- personalized recommendation
- missing data
- personalized ranking
- user preferences
- latent factors
- probabilistic matrix factorization
- tag recommendation
- pairwise
- variational bayesian
- recommendation algorithms