Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.
Muhammad IbrahimMark James CarmanPublished in: AIRS (2014)
Keyphrases
- learning to rank
- training data
- ranking functions
- supervised learning
- loss function
- information retrieval
- evaluation measures
- direct optimization
- learning to rank algorithms
- ranking svm
- data sets
- document retrieval
- evaluation metrics
- training set
- classification accuracy
- collaborative filtering
- learning algorithm
- query dependent
- directly optimize
- training samples
- retrieval systems
- class imbalance
- test collection
- decision trees
- machine learning