• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning to Rank for Information Retrieval

Learning to Rank for Information Retrieval

Hardcover

General ComputersSystem Administration

ISBN10: 3642142664
ISBN13: 9783642142666
Publisher: Springer
Published: May 6 2011
Pages: 285
Weight: 1.20
Height: 0.80 Width: 6.20 Depth: 9.20
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.

Also in

System Administration