Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines.
Gulsah AltinokPinar KaragozInci BatmazPublished in: Comput. Intell. (2021)
Keyphrases
- multivariate adaptive regression splines
- learning to rank
- support vector regression
- ranking functions
- loss function
- information retrieval
- direct optimization
- evaluation measures
- ranking svm
- collaborative filtering
- document retrieval
- regression model
- supervised learning
- directly optimize
- learning to rank algorithms
- evaluation metrics
- retrieval systems
- support vector
- query dependent
- ranking list
- machine learning
- high dimensional
- reinforcement learning
- similarity measure
- multimedia
- image processing
- exploration exploitation dilemma