Learning to rank using gradient descent.
Christopher J. C. BurgesTal ShakedErin RenshawAri LazierMatt DeedsNicole HamiltonGregory N. HullenderPublished in: ICML (2005)
Keyphrases
- learning to rank
- loss function
- ranking functions
- information retrieval
- cost function
- support vector
- ranking svm
- evaluation metrics
- pairwise
- evaluation measures
- document retrieval
- objective function
- learning to rank algorithms
- direct optimization
- data sets
- query expansion
- web search
- supervised learning
- query dependent
- web search engines
- feature selection
- ranking list
- directly optimize
- exploration exploitation dilemma