Neural Collaborative Filtering vs. Matrix Factorization Revisited.
Steffen RendleWalid KricheneLi ZhangJohn R. AndersonPublished in: CoRR (2020)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- factor analysis
- low rank
- factorization methods
- negative matrix factorization
- nonnegative matrix factorization
- probabilistic matrix factorization
- variational bayesian
- recommendation systems
- missing data
- factorization method
- cold start problem
- user preferences
- personalized recommendation
- item recommendation
- stochastic gradient descent
- tensor factorization
- user interests
- recommendation quality
- clustering algorithm
- personalized ranking
- feature extraction
- latent factors
- least squares
- data matrix
- missing values