Article

Learning to rank using an ensemble of lambda-gradient models

Authors:

Christopher J. C. Burges,

Krysta M. Svore,

Paul N. Bennett,

Andrzej Pastusiak,

Qiang WuAuthors Info & Claims

YLRC'10: Proceedings of the 2010 International Conference on Yahoo! Learning to Rank Challenge - Volume 14

Pages 25 - 35

Published: 25 June 2010 Publication History

Publisher Site

Abstract

We describe the system that won Track 1 of the Yahoo! Learning to Rank Challenge.

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Zhuang HWang XBendersky MGrushetsky AWu YMitrichev PSterling EBell NRavina WQian HLewin-Eytan LCarmel DYom-Tov EAgichtein EGabrilovich E(2021)Interpretable Ranking with Generalized Additive ModelsProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441796(499-507)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3437963.3441796
Li PQin ZWang XMetzler DTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal SearchProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330676(2032-2040)Online publication date: 25-Jul-2019
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Freno ACremonesi PRicci FBerkovsky STuzhilin A(2017)Practical Lessons from Developing a Large-Scale Recommender System at ZalandoProceedings of the Eleventh ACM Conference on Recommender Systems10.1145/3109859.3109897(251-259)Online publication date: 27-Aug-2017
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YLRC'10: Proceedings of the 2010 International Conference on Yahoo! Learning to Rank Challenge - Volume 14

June 2010

100 pages

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JMLR.org

Publication History

Published: 25 June 2010

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Zhuang HWang XBendersky MGrushetsky AWu YMitrichev PSterling EBell NRavina WQian HLewin-Eytan LCarmel DYom-Tov EAgichtein EGabrilovich E(2021)Interpretable Ranking with Generalized Additive ModelsProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441796(499-507)Online publication date: 8-Mar-2021
https://dl.acm.org/doi/10.1145/3437963.3441796
Li PQin ZWang XMetzler DTeredesai AKumar VLi YRosales RTerzi EKarypis G(2019)Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal SearchProceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3292500.3330676(2032-2040)Online publication date: 25-Jul-2019
https://dl.acm.org/doi/10.1145/3292500.3330676
Freno ACremonesi PRicci FBerkovsky STuzhilin A(2017)Practical Lessons from Developing a Large-Scale Recommender System at ZalandoProceedings of the Eleventh ACM Conference on Recommender Systems10.1145/3109859.3109897(251-259)Online publication date: 27-Aug-2017
https://dl.acm.org/doi/10.1145/3109859.3109897
Jin JLai GLin XCai X(2017)DLRankSVMThe Journal of Supercomputing10.1007/s11227-016-1907-473:5(2157-2186)Online publication date: 1-May-2017
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Tran TPhung DVenkatesh S(2016)Neural Choice by Elimination via Highway NetworksRevised Selected Papers of the PAKDD 2016 Workshops on Trends and Applications in Knowledge Discovery and Data Mining - Volume 979410.1007/978-3-319-42996-0_2(15-25)Online publication date: 19-Apr-2016
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Freno ASaveski MJenatton RArchambeau CCao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)One-Pass Ranking Models for Low-Latency Product RecommendationsProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2788579(1789-1798)Online publication date: 10-Aug-2015
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Sun HMa HYih WTsai CLiu JChang MGangemi ALeonardi SPanconesi A(2015)Open Domain Question Answering via Semantic EnrichmentProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741651(1045-1055)Online publication date: 18-May-2015
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Guillou FGaudel RMary JPreux PSaid ADooms SLoni BTikk D(2014)User Engagement as EvaluationProceedings of the 2014 Recommender Systems Challenge10.1145/2668067.2668073(7-12)Online publication date: 10-Oct-2014
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Learning to Rank with Ensemble Ranking SVM

Incremental learning to rank with partially-labeled data

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