Neural Collaborative Filtering vs. Matrix Factorization Revisited.
Steffen RendleWalid KricheneLi ZhangJohn R. AndersonPublished in: RecSys (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- low rank
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- factor analysis
- stochastic gradient descent
- recommendation systems
- transfer learning
- cold start problem
- latent factor models
- tensor factorization
- user preferences
- latent factors
- missing data
- data matrix
- recommendation algorithms
- variational bayesian
- factorization method
- user ratings
- rating prediction
- item recommendation
- personalized ranking