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
O. Chapelle,
Y. Chang
;
PMLR 14:1-24
[abs]
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Contributed Papers
Afterword
Future directions in learning to rank
O. Chapelle,
Y. Chang,
T.-Y. Liu
;
PMLR 14:91-100
[abs]
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Learning to Rank Using an Ensemble of Lambda-Gradient Models
C. Burges,
K. Svore,
P. Bennett,
A. Pastusiak,
Q. Wu
;
PMLR 14:25-35
[abs]
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Ranking by calibrated AdaBoost
R. Busa-Fekete,
B. Kégl,
T. Éltető,
G. Szarvas
;
PMLR 14:37-48
[abs]
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Learning to rank with extremely randomized trees
P. Geurts,
G. Louppe
;
PMLR 14:49-61
[abs]
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Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank
A. Gulin,
I. Kuralenok,
D. Pavlov
;
PMLR 14:63-76
[abs]
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Web-Search Ranking with Initialized Gradient Boosted Regression Trees
A. Mohan,
Z. Chen,
K. Weinberger
;
PMLR 14:77-89
[abs]
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