Expected Divergence Based Feature Selection for Learning to Rank.
Parth GuptaPaolo RossoPublished in: COLING (Posters) (2012)
Keyphrases
- learning to rank
- feature selection
- ranking functions
- information retrieval
- loss function
- ranking svm
- active sampling
- evaluation measures
- learning to rank algorithms
- feature set
- support vector machine
- support vector
- document retrieval
- text categorization
- query dependent
- evaluation metrics
- collaborative filtering
- feature subset
- model selection
- machine learning
- multi class
- retrieval systems
- text classification
- mutual information
- web search
- supervised learning
- classification accuracy
- direct optimization
- web search engines
- principal component analysis
- ranking models
- information extraction
- feature space
- data sets