Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion.
Adam BlockRahul KidambiDaniel N. HillThorsten JoachimsInderjit S. DhillonPublished in: SIGIR (2022)
Keyphrases
- learning to rank
- ranking svm
- query dependent
- relevance judgments
- ranking functions
- retrieval systems
- query suggestion
- ranking list
- loss function
- information retrieval
- document retrieval
- evaluation measures
- ranking models
- relevance feedback
- learn a ranking function
- collaborative filtering
- learning to rank algorithms
- web search
- user queries
- clickthrough data
- directly optimize
- direct optimization
- evaluation metrics
- machine learning
- supervised learning
- data sources
- query processing
- user feedback
- ranking algorithm
- test collection
- web queries
- query result
- web search engines
- information retrieval systems
- ordinal regression
- classification accuracy
- bayesian networks
- metadata
- data sets