Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.
Aijun BaiRolf JagermanZhen QinLe YanPratyush KarBing-Rong LinXuanhui WangMichael BenderskyMarc NajorkPublished in: CIKM (2023)
Keyphrases
- learning to rank
- learning to rank algorithms
- query dependent
- ranking models
- ranking functions
- ranking algorithm
- information retrieval
- web search
- ranking svm
- relevance judgments
- loss function
- evaluation measures
- regression model
- test collection
- document retrieval
- normalized discounted cumulative gain
- evaluation metrics
- multimedia retrieval
- ranked list
- supervised learning
- clickthrough data
- balancing exploration and exploitation
- support vector
- relevance ranking
- similarity measure
- search engine
- benchmark datasets
- relevance feedback
- collaborative filtering
- gaussian processes
- web search engines
- directly optimize
- database