Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems.
Ludovico BorattoGianni FenuMirko MarrasPublished in: CoRR (2020)
Keyphrases
- recommender systems
- collaborative filtering
- cold start problem
- kernel regression
- trust aware
- matrix factorization
- user profiles
- service providers
- user profiling
- depth map
- game theory
- prior information
- user preferences
- user modeling
- cold start
- low resolution
- color matching
- recommendation quality
- regularization method
- image restoration
- data sparsity
- regularization parameter
- information overload
- implicit feedback
- interpolation methods
- recommendation algorithms
- regularization term
- user interests