A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation.
Ludovico BorattoGiulia CernigliaMirko MarrasAlessandra PernicianoBarbara PesPublished in: ECIR (3) (2024)
Keyphrases
- learning strategies
- cost sensitive
- active learning
- misclassification costs
- cost sensitive learning
- recommender systems
- multi class
- binary classification
- collaborative filtering
- cost sensitive classification
- online learning
- class distribution
- class imbalance
- naive bayes
- confidence weighted
- virtual learning environments
- learning algorithm
- machine learning
- labeled data
- support vector machine
- multi label
- cross validation
- training set
- reinforcement learning
- boosting algorithms
- similarity measure