Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning.
Roger Zhe LiJulián UrbanoAlan HanjalicPublished in: ICTIR (2023)
Keyphrases
- cost sensitive learning
- cost sensitive
- probability estimation
- class imbalance
- missing values
- misclassification costs
- recommender systems
- collaborative filtering
- active learning
- decision trees
- class distribution
- multi class
- rule extraction
- skewed data
- naive bayes
- small number
- binary classification
- data analysis
- feature selection