Reenvisioning Collaborative Filtering vs Matrix Factorization.
Vito Walter AnelliAlejandro BellogínTommaso Di NoiaClaudio PomoPublished in: CoRR (2021)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- data sparsity
- probabilistic matrix factorization
- nonnegative matrix factorization
- low rank
- factor analysis
- factorization methods
- cold start problem
- negative matrix factorization
- transfer learning
- data matrix
- user preferences
- item recommendation
- missing data
- implicit feedback
- stochastic gradient descent
- personalized ranking
- tensor factorization
- variational bayesian
- recommendation quality
- pairwise
- factorization method
- cold start
- personalized recommendation