Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
Yunan ZhangLe YanZhen QinHonglei ZhuangJiaming ShenXuanhui WangMichael BenderskyMarc NajorkPublished in: KDD (2023)
Keyphrases
- learning to rank
- information retrieval
- learning to rank algorithms
- relevance judgments
- query dependent
- ranking functions
- low variance
- test collection
- ranking models
- ranking list
- loss function
- document retrieval
- evaluation measures
- learn a ranking function
- ranking svm
- normalized discounted cumulative gain
- retrieval systems
- direct optimization
- document collections
- collaborative filtering
- evaluation metrics
- data sets
- relevance feedback
- retrieval effectiveness
- web search
- language model
- multimedia
- directly optimize
- learning algorithm
- user feedback
- ranking algorithm