Online Learning to Rank in Stochastic Click Models.
Mohammad GhavamzadehBranislav KvetonCsaba SzepesváriTomás TunysZheng WenMasrour ZoghiPublished in: CoRR (2017)
Keyphrases
- learning to rank
- balancing exploration and exploitation
- ranking functions
- information retrieval
- loss function
- evaluation metrics
- evaluation measures
- document retrieval
- direct optimization
- ranking svm
- click models
- relevance judgments
- retrieval systems
- web search
- supervised learning
- reinforcement learning
- information retrieval systems
- search engine
- user feedback
- learning to rank algorithms
- directly optimize
- learning algorithm
- query dependent
- relevance feedback
- probabilistic model
- support vector