RankCNN: When learning to rank encounters the pseudo preference feedback.
Yuan DongChong HuangWei LiuPublished in: Comput. Stand. Interfaces (2014)
Keyphrases
- query processing
- learning to rank
- user feedback
- ranking functions
- information retrieval
- loss function
- relevance feedback
- document retrieval
- evaluation measures
- evaluation metrics
- ranking svm
- collaborative filtering
- user preferences
- direct optimization
- retrieval systems
- supervised learning
- relevance judgments
- learning to rank algorithms
- query dependent
- data mining
- training data
- multiple criteria
- implicit feedback
- ranking models
- directly optimize
- balancing exploration and exploitation