A Cost-Sensitive Meta-Learning Strategy for Fair Provider Exposure in Recommendation.
Ludovico BorattoGiulia CernigliaMirko MarrasAlessandra PernicianoBarbara PesPublished in: CoRR (2024)
Keyphrases
- learning strategies
- cost sensitive
- active learning
- misclassification costs
- cost sensitive learning
- multi class
- cost sensitive classification
- binary classification
- recommender systems
- online learning
- class imbalance
- collaborative filtering
- class distribution
- naive bayes
- blended learning
- confidence weighted
- training set
- multi label
- cost sensitive boosting
- machine learning
- supervised learning
- decision trees
- boosting algorithms
- image features