Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
Yunan ZhangLe YanZhen QinHonglei ZhuangJiaming ShenXuanhui WangMichael BenderskyMarc NajorkPublished in: CoRR (2022)
Keyphrases
- learning to rank
- information retrieval
- relevance judgments
- learning to rank algorithms
- query dependent
- ranking models
- ranking functions
- test collection
- loss function
- low variance
- learn a ranking function
- ranking list
- evaluation measures
- document retrieval
- collaborative filtering
- supervised learning
- direct optimization
- ranking svm
- relevance feedback
- retrieval systems
- web search
- evaluation metrics
- user feedback
- training data
- query expansion
- normalized discounted cumulative gain
- bayesian networks
- directly optimize
- active learning
- information extraction
- multi class
- feature set