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Learning to Rank for Information Retrieval

✍ Scribed by Liu, Tie-Yan

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2011
Tongue: English
Leaves: 282
Category: Library

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✦ Table of Contents

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.

✦ Subjects

Algoritmos;Information Storage and Retrieval;Pattern recognition;Probability and Statistics in Computer Science

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