On Optimizing Top-K Metrics for Neural Ranking Models.
Rolf JagermanZhen QinXuanhui WangMichael BenderskyMarc NajorkPublished in: SIGIR (2022)
Keyphrases
- ranking models
- directly optimize
- learning to rank
- web search
- ranking functions
- ranking algorithm
- benchmark datasets
- information retrieval
- direct optimization
- loss function
- query processing
- evaluation measures
- ranking svm
- evaluation metrics
- normalized discounted cumulative gain
- cost sensitive
- pairwise classification
- web queries
- document retrieval
- collaborative filtering
- web search engines
- text mining
- feature selection