On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search.
Gustavo PenhaClaudia HauffPublished in: EACL (2021)
Keyphrases
- learning to rank
- information retrieval
- ranking functions
- loss function
- ranking models
- evaluation measures
- query dependent
- collaborative filtering
- probabilistic model
- retrieval systems
- ranking svm
- benchmark datasets
- feature extraction
- test collection
- data sets
- search engine
- optimization methods
- biological systems
- relevance judgments
- learning to rank algorithms