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Volume 14: Proceedings of the Learning to Rank Challenge, 25 June 2010, Haifa, Israel
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Editors: Olivier Chapelle, Yi Chang, Tie-Yan Liu
[bib][citeproc]
Introduction
Yahoo! Learning to Rank Challenge Overview
Olivier Chapelle, Yi Chang;
PMLR 14:1-24
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Contributed Papers
Afterword
Future directions in learning to rank
Olivier Chapelle, Yi Chang, Tie-Yan Liu;
PMLR 14:91-100
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Learning to Rank Using an Ensemble of Lambda-Gradient Models
Christopher Burges, Krysta Svore, Paul Bennett, Andrzej Pastusiak, Qiang Wu;
PMLR 14:25-35
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Ranking by calibrated AdaBoost
Róbert Busa-Fekete, Balázs Kégl, Tamás Éltető, György Szarvas;
PMLR 14:37-48
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Learning to rank with extremely randomized trees
Pierre Geurts, Gilles Louppe;
PMLR 14:49-61
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Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank
Andrey Gulin, Igor Kuralenok, Dimitry Pavlov;
PMLR 14:63-76
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Web-Search Ranking with Initialized Gradient Boosted Regression Trees
Ananth Mohan, Zheng Chen, Kilian Weinberger;
PMLR 14:77-89
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