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