Neural Feature Selection for Learning to Rank.
Alberto PurpuraKarolina BuchnerGianmaria SilvelloGian Antonio SustoPublished in: CoRR (2021)
Keyphrases
- learning to rank
- feature selection
- information retrieval
- ranking functions
- loss function
- active sampling
- evaluation measures
- mutual information
- text categorization
- evaluation metrics
- support vector
- document retrieval
- collaborative filtering
- text classification
- direct optimization
- query dependent
- learning to rank algorithms
- feature space
- multi class
- support vector machine
- information gain
- machine learning
- feature set
- feature subset
- classification accuracy
- ranking svm
- model selection
- test collection
- query processing
- feature extraction
- learning algorithm