Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
Da XuChuanwei RuanEvren KörpeogluSushant KumarKannan AchanPublished in: ICML (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- theoretical perspectives
- recommender systems
- data sparsity
- cognitive processes
- nonnegative matrix factorization
- low rank
- probabilistic matrix factorization
- factorization methods
- negative matrix factorization
- factor analysis
- learning sciences
- recommendation systems
- user preferences
- implicit feedback
- learning technologies
- variational bayesian
- cold start problem
- tensor factorization
- user profiles
- personalized recommendation
- missing data
- user experience
- latent factor models
- online learning
- factor matrices
- artificial intelligence