Neural Feature Selection for Learning to Rank.
Alberto PurpuraKarolina BuchnerGianmaria SilvelloGian Antonio SustoPublished in: ECIR (2) (2021)
Keyphrases
- learning to rank
- feature selection
- ranking functions
- loss function
- information retrieval
- document retrieval
- ranking svm
- support vector
- evaluation measures
- mutual information
- collaborative filtering
- classification accuracy
- active sampling
- direct optimization
- feature set
- text classification
- exploration exploitation dilemma
- machine learning
- learning to rank algorithms
- text categorization
- feature space
- evaluation metrics
- feature subset
- data sets
- feature extraction
- information gain
- language model
- knn
- pairwise
- support vector machine
- supervised learning
- query dependent
- web search
- naive bayes
- directly optimize
- model selection
- search engine