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Learning to Rank for Information Retrieval
Paperback
General ComputersSystem Administration
ISBN13: 9783642441240
Publisher: Springer Nature
Published: Sep 29 2014
Pages: 285
Weight: 0.94
Height: 0.64 Width: 6.14 Depth: 9.21
Language: English
1. Ranking in IR.- 2. Learning to Rank for IR.- 3. Regression/Classification: Conventional ML Approach to Learning to Rank.- 4. Ordinal Regression: A Pointwise Approach to Learning to Rank.- 5. Preference Learning: A Pairwise Approach to Learning to Rank.- 6. Listwise Ranking: A Listwise APproach to Learning to Rank.- 7. Advanced Topics.- 8. LETOR: A Benchmark Dataset for Learning to Rank.- 9. SUmmary and Outlook.
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