Learning to rank

Results: 420



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1Cascading Bandits: Learning to Rank in the Cascade Model  Branislav Kveton Adobe Research, San Jose, CA Csaba Szepesv´ari Department of Computing Science, University of Alberta

Cascading Bandits: Learning to Rank in the Cascade Model Branislav Kveton Adobe Research, San Jose, CA Csaba Szepesv´ari Department of Computing Science, University of Alberta

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Source URL: www.bkveton.com

Language: English - Date: 2018-07-29 15:59:25
    2Learning to Rank By Aggregating Expert Preferences Maksims N. Volkovs Hugo Larochelle  Richard S. Zemel

    Learning to Rank By Aggregating Expert Preferences Maksims N. Volkovs Hugo Larochelle Richard S. Zemel

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    Source URL: info.usherbrooke.ca

    Language: English - Date: 2012-09-06 13:00:53
      3McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

      McRank: Learning to Rank Using Multiple Classification and Gradient Boosting Ping Li ∗ Dept. of Statistical Science Cornell University

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      Source URL: papers.nips.cc

      - Date: 2014-04-23 14:10:04
        4Tagging data as implicit feedback for learning-to-rank Beate Navarro Bullock Robert Jäschke  Andreas Hotho

        Tagging data as implicit feedback for learning-to-rank Beate Navarro Bullock Robert Jäschke Andreas Hotho

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        Source URL: www.websci11.org

        - Date: 2016-03-15 09:55:19
          5Regression Rank: Learning to Meet the Opportunity of Descriptive Queries Matthew Lease1 , James Allan2, and Bruce Croft2 1  Brown Laboratory for Linguistic Information Processing (BLLIP)

          Regression Rank: Learning to Meet the Opportunity of Descriptive Queries Matthew Lease1 , James Allan2, and Bruce Croft2 1 Brown Laboratory for Linguistic Information Processing (BLLIP)

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          Source URL: bllip.cs.brown.edu

          - Date: 2009-01-05 17:03:57
            6Effect of Dynamic Pruning Safety on Learning to Rank Effectiveness Craig Macdonald1 , Nicola Tonellotto2 , Iadh Ounis1 1  2

            Effect of Dynamic Pruning Safety on Learning to Rank Effectiveness Craig Macdonald1 , Nicola Tonellotto2 , Iadh Ounis1 1 2

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            Source URL: dcs.gla.ac.uk

            - Date: 2012-06-18 06:25:53
              7Introduction to Information Retrieval  ` `%%%`#_`__~~~false [0.5cm] IIR 6&7: Vector Space Model

              Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 6&7: Vector Space Model

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              Source URL: essir.uni-koblenz.de

              Language: English - Date: 2016-02-24 18:38:54
              8From Puppy to Maturity: Experiences in Developing Terrier Craig Macdonald, Richard McCreadie, Rodrygo L.T. Santos, and Iadh Ounis  School of Computing Science University of Glasgow

              From Puppy to Maturity: Experiences in Developing Terrier Craig Macdonald, Richard McCreadie, Rodrygo L.T. Santos, and Iadh Ounis School of Computing Science University of Glasgow

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              Source URL: terrierteam.dcs.gla.ac.uk

              Language: English - Date: 2014-09-26 11:56:14
              9The Computer Journal Advance Access published March 6, 2008 # The AuthorPublished by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.

              The Computer Journal Advance Access published March 6, 2008 # The AuthorPublished by Oxford University Press on behalf of The British Computer Society. All rights reserved. For Permissions, please email: journals.

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              Source URL: terrierteam.dcs.gla.ac.uk

              Language: English - Date: 2010-03-05 12:05:33
              10Learning to Rank on Network Data Majid Yazdani Ronan Collobert  Andrei Popescu-Belis

              Learning to Rank on Network Data Majid Yazdani Ronan Collobert Andrei Popescu-Belis

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              Source URL: majid.yazdani.me

              Language: English - Date: 2015-08-19 06:57:43