Learning to Rank Anomalies: Scalar Performance Criteria and Maximization of Two-Sample Rank Statistics.
Myrto LimniosNathan NoiryStéphan ClémençonPublished in: LIDTA@ECML/PKDD (2021)
Keyphrases
- learning to rank
- direct optimization
- ranking models
- ranking functions
- ranking list
- information retrieval
- loss function
- learning to rank algorithms
- anomaly detection
- evaluation measures
- document retrieval
- learn a ranking function
- ranking svm
- collaborative filtering
- retrieval systems
- multi criteria
- relevance judgments
- ranked list
- data sets
- supervised learning
- query dependent
- sample size
- scoring function
- directly optimize
- evaluation metrics
- normalized discounted cumulative gain
- multiple criteria
- machine learning
- optimization methods