Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives.
Da XuChuanwei RuanEvren KörpeogluSushant KumarKannan AchanPublished in: CoRR (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- theoretical perspectives
- recommender systems
- negative matrix factorization
- data sparsity
- low rank
- cognitive processes
- learning technologies
- probabilistic matrix factorization
- factorization methods
- tensor factorization
- user preferences
- factor analysis
- multiple perspectives
- nonnegative matrix factorization
- variational bayesian
- cold start problem
- learning sciences
- implicit feedback
- latent factors
- recommendation systems
- missing data
- item recommendation
- user ratings
- cold start
- machine learning
- reinforcement learning
- binary matrix
- e learning
- artificial intelligence