ARSM Gradient Estimator for Supervised Learning to Rank.
Siamak Zamani DadanehShahin BolukiMingyuan ZhouXiaoning QianPublished in: CoRR (2019)
Keyphrases
- learning to rank
- supervised learning
- ranking functions
- information retrieval
- loss function
- evaluation measures
- learning algorithm
- direct optimization
- ranking svm
- evaluation metrics
- maximum likelihood
- document retrieval
- semi supervised
- query dependent
- collaborative filtering
- retrieval systems
- balancing exploration and exploitation
- ranking models
- training data
- feature selection
- web search engines
- support vector
- reinforcement learning
- directly optimize
- learning to rank algorithms