Learning to Rank for Information Retrieval

by Tie-Yan Liu

Book Overview

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.

• Format: Paperback
• Language: English
• ISBN: 3642441246
• ISBN13: 9783642441240
• Release Date: September 2014
• Publisher: Springer
• Length: 285 Pages
• Weight: 0.94 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"