The Impact of Negative Samples on Learning to Rank.
Claudio LuccheseFranco Maria NardiniRaffaele PeregoSalvatore TraniPublished in: LEARNER@ICTIR (2017)
Keyphrases
- learning to rank
- positive samples
- negative samples
- ranking functions
- information retrieval
- loss function
- evaluation measures
- direct optimization
- ranking svm
- document retrieval
- collaborative filtering
- learning to rank algorithms
- retrieval systems
- data sets
- supervised learning
- test collection
- directly optimize
- balancing exploration and exploitation
- language model
- information extraction
- support vector machine
- decision trees