Volume 14, January 2011

• 
  Olivier Chapelle, Yi Chang: Yahoo! Learning to Rank Challenge Overview. 1-24

• 
  Christopher J. C. Burges, Krysta Marie Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu: Learning to Rank Using an Ensemble of Lambda-Gradient Models. 25-35
• 
  Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas: Ranking by calibrated AdaBoost. 37-48
• 
  Pierre Geurts, Gilles Louppe: Learning to rank with extremely randomized trees. 49-61
• 
  Andrey Gulin, Igor Kuralenok, Dmitry Pavlov: Winning The Transfer Learning Track of Yahoo!'s Learning To Rank Challenge with YetiRank. 63-76
• 
  Ananth Mohan, Zheng Chen, Kilian Q. Weinberger: Web-Search Ranking with Initialized Gradient Boosted Regression Trees. 77-89

• 
  Olivier Chapelle, Yi Chang, Tie-Yan Liu: Future directions in learning to rank. 91-100

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