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Comparison of Ranking Procedures in Pairwise Preference Learning (2004)  (Make Corrections)  
Eyke Hüllermeier, Johannes Fürnkranz



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Abstract: Computational methods for discovering the preferences of individuals are useful in many applications. In this paper, we propose a method for learning valued preference structures, using a natural extension of so-called pairwise classification. A valued preference structure can then be used in order to induce a ranking, that is a linear ordering of a given set of alternatives. This step is realized by means of a so-called ranking procedure. In the second part of the paper, we... (Update)

Active bibliography (related documents):   More   All
0.4:   Ranking by Pairwise Comparison: A Note on Risk Minimization - Hüllermeier, Fürnkranz   (Correct)
0.3:   Preference Learning with Gaussian Processes - Chu, Ghahramani (2005)   (Correct)
0.2:   Active Learning of Label Ranking Functions - Klaus Brinker Kbrinker   (Correct)

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0.8:   Preference Learning: Models, Methods . . . - Hüllermeier, al. (2003)   (Correct)
0.4:   Pairwise Preference Learning and Ranking - Fürnkranz, Hüllermeier   (Correct)
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BibTeX entry:   (Update)

@misc{ llermeier-comparison,
  author = "Eyke Hüllermeier and Johannes Fürnkranz",
  title = "Comparison of Ranking Procedures in Pairwise Preference Learning",
  url = "citeseer.ist.psu.edu/671270.html" }
Citations (may not include all citations):
773   Reducibility among combinatorial problems (context) - Karp - 1972
64   Fuzzy Preference Modelling and Multicriteria Decision Suppor.. (context) - Fodor, Roubens - 1994
8   Probability estimates for multi-class classification by pair.. - Wu, Lin et al. - 2003
6   Round robin classification (context) - Furnkranz - 2002
6   Inconsistencies in a schedule of paired comparisons (context) - Slater - 1961
4   Pairwise preference learning and ranking (context) - Furnkranz, Hullermeier - 2003

Documents on the same site (http://dbs.mathematik.uni-marburg.de/~isy/PUBS/online.html):   More
A Note on Quality Measures for Fuzzy Association Rules - Dubois, Hüllermeier, Prade   (Correct)
Possibilistic Instance-Based Learning - Hüllermeier   (Correct)
Ranking by Pairwise Comparison: A Note on Risk Minimization - Hüllermeier, Fürnkranz   (Correct)

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