Learning to rank for freshness and relevance.
Na DaiMilad ShokouhiBrian D. DavisonPublished in: SIGIR (2011)
Keyphrases
- learning to rank
- information retrieval
- relevance judgments
- learning to rank algorithms
- query dependent
- ranking functions
- test collection
- ranking models
- loss function
- ranking list
- learn a ranking function
- evaluation measures
- ranking svm
- document retrieval
- normalized discounted cumulative gain
- direct optimization
- relevance feedback
- supervised learning
- retrieval systems
- web search
- collaborative filtering
- exploration exploitation dilemma
- retrieved documents
- user feedback
- machine learning
- retrieval model
- evaluation metrics
- language model
- support vector
- balancing exploration and exploitation
- search engine