Incorporating Risk-Sensitiveness into Feature Selection for Learning to Rank.
Daniel Xavier de SousaSérgio Daniel CanutoThierson Couto RosaWellington Santos MartinsMarcos André GonçalvesPublished in: CIKM (2016)
Keyphrases
- learning to rank
- feature selection
- ranking functions
- loss function
- information retrieval
- support vector
- evaluation measures
- text categorization
- active sampling
- mutual information
- document retrieval
- feature extraction
- ranking svm
- machine learning
- feature subset
- direct optimization
- query dependent
- collaborative filtering
- text classification
- evaluation metrics
- information gain
- feature space
- test collection
- supervised learning
- multi class
- feature set
- image retrieval
- web search
- ranking list
- retrieval systems
- data sets