Learning to Rank by Maximizing AUC with Linear Programming.
Kaan AtamanW. Nick StreetYi ZhangPublished in: IJCNN (2006)
Keyphrases
- learning to rank
- linear programming
- ranking functions
- information retrieval
- loss function
- evaluation measures
- np hard
- logistic regression
- document retrieval
- roc curve
- directly optimize
- classification accuracy
- class distribution
- primal dual
- collaborative filtering
- model selection
- objective function
- decision trees
- ranking svm
- semidefinite programming
- feature selection
- optimal solution
- query dependent
- direct optimization
- test collection
- naive bayes
- evaluation metrics
- cost sensitive
- text classification
- supervised learning
- multi class
- learning process
- training set