Learning to Rank with Nonsmooth Cost Functions.
Christopher J. C. BurgesRobert RagnoQuoc Viet LePublished in: NIPS (2006)
Keyphrases
- learning to rank
- cost function
- ranking functions
- information retrieval
- loss function
- evaluation measures
- collaborative filtering
- ranking svm
- direct optimization
- optimization problems
- learning to rank algorithms
- document retrieval
- newton method
- retrieval systems
- mathematical programming
- evaluation metrics
- balancing exploration and exploitation
- data sets
- directly optimize
- supervised learning
- test collection
- exploration exploitation dilemma