Learn What Really Matters: A Learning-to-Rank Approach for ML-based Query Optimization.
Henriette BehrVolker MarklZoi KaoudiPublished in: BTW (2023)
Keyphrases
- query optimization
- learning to rank
- database systems
- ranking functions
- information retrieval
- multidatabase systems
- cost model
- cardinality estimation
- loss function
- document retrieval
- query processing
- direct optimization
- collaborative filtering
- ranking svm
- learning to rank algorithms
- directly optimize
- test collection
- query execution
- xml data
- query optimizer
- selectivity estimation
- probabilistic model
- web search engines
- image retrieval
- ranking models
- execution plan
- information extraction