JMLR Workshop and Conference Proceedings
Volume 14: Yahoo! Learning to Rank Challenge


Proceedings of the Yahoo! Learning to Rank Challenge
June 25, 2010, Haifa, Israel


Editors: Olivier Chapelle, Yi Chang, Tie-Yan Liu
PIC

Introduction

Yahoo! Learning to Rank Challenge Overview
O. Chapelle & Y. Chang; 14:1–24, 2011.
[abs] [pdf]

Contributed papers

Learning to Rank Using an Ensemble of Lambda-Gradient Models
C. Burges, K. Svore, P. Bennett, A. Pastusiak & Q. Wu; 14:25–35, 2011.
[abs] [pdf]
Ranking by calibrated AdaBoost
R. Busa-Fekete, B. Kégl, T. Éltető & G. Szarvas; 14:37–48, 2011.
[abs] [pdf]
Learning to rank with extremely randomized trees
P. Geurts & G. Louppe; 14:49–61, 2011.
[abs] [pdf]
Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank
A. Gulin, I. Kuralenok & D. Pavlov; 14:63–76, 2011.
[abs] [pdf]
Web-Search Ranking with Initialized Gradient Boosted Regression Trees
A. Mohan, Z. Chen & K. Weinberger; 14:77–89, 2011.
[abs] [pdf]

Afterword

Future directions in learning to rank
O. Chapelle, Y. Chang & T.-Y. Liu; 14:91–100, 2011.
[abs] [pdf]


Page last modified on Wed Jan 26 10:37:17 2011.




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