Cost-Sensitive Supported Vector Learning to Rank Imbalanced Data Set.
Xiao ChangQinghua ZhengPeng LinPublished in: ICIC (2) (2009)
Keyphrases
- cost sensitive
- learning to rank
- class imbalance
- data sets
- class distribution
- directly optimize
- ranking svm
- misclassification costs
- cost sensitive learning
- information retrieval
- ranking functions
- multi class
- binary classification
- loss function
- document retrieval
- evaluation measures
- active learning
- support vector machine
- feature vectors
- training data
- supervised learning
- naive bayes
- knowledge discovery
- retrieval systems
- information retrieval systems
- pairwise
- feature space
- collaborative filtering