Proceedings of Machine Learning Research

Volume 14: Proceedings of the Learning to Rank Challenge, 25 June 2010, Haifa, Israel

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

Contents:

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Yahoo! Learning to Rank Challenge Overview

Olivier Chapelle, Yi Chang; Proceedings of the Learning to Rank Challenge, PMLR 14:1-24

Future directions in learning to rank

Olivier Chapelle, Yi Chang, Tie-Yan Liu; Proceedings of the Learning to Rank Challenge, PMLR 14:91-100

Learning to Rank Using an Ensemble of Lambda-Gradient Models

Christopher Burges, Krysta Svore, Paul Bennett, Andrzej Pastusiak, Qiang Wu; Proceedings of the Learning to Rank Challenge, PMLR 14:25-35

Ranking by calibrated AdaBoost

Róbert Busa-Fekete, Balázs Kégl, Tamás Éltető, György Szarvas; Proceedings of the Learning to Rank Challenge, PMLR 14:37-48

Learning to rank with extremely randomized trees

Pierre Geurts, Gilles Louppe; Proceedings of the Learning to Rank Challenge, PMLR 14:49-61

Winning The Transfer Learning Track of Yahoo!’s Learning To Rank Challenge with YetiRank

Andrey Gulin, Igor Kuralenok, Dimitry Pavlov; Proceedings of the Learning to Rank Challenge, PMLR 14:63-76

Web-Search Ranking with Initialized Gradient Boosted Regression Trees

Ananth Mohan, Zheng Chen, Kilian Weinberger; Proceedings of the Learning to Rank Challenge, PMLR 14:77-89