Improving On-Demand Learning to Rank through Parallelism.
Daniel Xavier de SousaThierson Couto RosaWellington Santos MartinsRodrigo M. SilvaMarcos André GonçalvesPublished in: WISE (2012)
Keyphrases
- learning to rank
- ranking functions
- loss function
- information retrieval
- document retrieval
- evaluation measures
- ranking svm
- direct optimization
- collaborative filtering
- learning to rank algorithms
- query dependent
- evaluation metrics
- ranking models
- retrieval systems
- relevance judgments
- web search engines
- exploration exploitation dilemma
- data sets
- test collection
- support vector
- multimedia
- data mining