Fairness and Popularity Bias in Recommender Systems: an Empirical Evaluation.
Cataldo MustoPasquale LopsGiovanni SemeraroPublished in: DP@AI*IA (2021)
Keyphrases
- recommender systems
- collaborative filtering
- user modeling
- user profiling
- information overload
- matrix factorization
- user preferences
- resource allocation
- cold start problem
- information filtering
- compound critiques
- trust aware
- recommendation quality
- data sparsity
- recommendation systems
- user model
- game theory
- empirical evaluation
- implicit feedback
- cooperative
- user feedback
- electronic commerce
- social media
- case study
- fair exchange
- learning algorithm
- data sets