Query-level learning to rank using isotonic regression.
Zhaohui ZhengHongyuan ZhaGordon SunPublished in: Allerton (2008)
Keyphrases
- learning to rank
- ranking svm
- query dependent
- relevance judgments
- ranking functions
- retrieval systems
- loss function
- active sampling
- ranking list
- query suggestion
- information retrieval
- ranking models
- direct optimization
- query processing
- learning to rank algorithms
- learn a ranking function
- evaluation measures
- relevance feedback
- document retrieval
- collaborative filtering
- user queries
- evaluation metrics
- pairwise
- test collection
- ordinal regression
- query expansion
- retrieval process
- support vector
- regression model
- directly optimize
- decision trees
- reinforcement learning
- normalized discounted cumulative gain
- web search engines
- data sets
- search engine
- clickthrough data
- data sources
- binary classification
- average precision
- query terms