Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance.
Marius KöppelAlexander SegnerMartin WagenerLukas PenselAndreas KarwathStefan KramerPublished in: ECML/PKDD (3) (2019)
Keyphrases
- learning to rank
- theoretical analysis
- pairwise
- loss function
- neural network
- ranking functions
- information retrieval
- evaluation measures
- direct optimization
- markov random field
- document retrieval
- evaluation metrics
- ranking svm
- similarity measure
- multi class
- learning to rank algorithms
- test collection
- supervised learning
- retrieval systems
- ranking models
- learning algorithm