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SIGIR
2006
ACM

Learning a ranking from pairwise preferences

9 years 8 months ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document preferences. Our approach requires no training data or relevance scores, and outperforms a popular voting algorithm. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Search Process General Terms: Algorithms, Design, Experimentation, Performance
Ben Carterette, Desislava Petkova
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SIGIR
Authors Ben Carterette, Desislava Petkova
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