Information retrieval

Results: 10539



#Item
41Learning Semantic Hierarchies via Word Embeddings Ruiji Fu† , Jiang Guo† , Bing Qin† , Wanxiang Che† , Haifeng Wang‡ , Ting Liu†∗ † Research Center for Social Computing and Information Retrieval Harbin In

Learning Semantic Hierarchies via Word Embeddings Ruiji Fu† , Jiang Guo† , Bing Qin† , Wanxiang Che† , Haifeng Wang‡ , Ting Liu†∗ † Research Center for Social Computing and Information Retrieval Harbin In

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Source URL: ir.hit.edu.cn

Language: English - Date: 2014-06-16 10:17:55
    42

    Leonard Will (Willpower Information, Enfield, UK) The ISOdata model for the structure of an information retrieval thesaurus

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    Source URL: www.willpowerinfo.co.uk

    Language: English - Date: 2016-04-11 11:27:40
      43Published on WebProtein NMR Recall, Precision, and F-measure Scores (RPF Scores): Structure Quality Assessment Measures Based on Information Retrieval Statistics Yuanpeng J. Huang,† Robert Powers,‡ and G

      Published on WebProtein NMR Recall, Precision, and F-measure Scores (RPF Scores): Structure Quality Assessment Measures Based on Information Retrieval Statistics Yuanpeng J. Huang,† Robert Powers,‡ and G

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      Source URL: www-nmr.cabm.rutgers.edu

      Language: English - Date: 2005-12-15 18:02:10
        442015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Towards Solving Comprehensibility-Relevance Trade-off in Information Retrieval Kouichi Akamatsu

        2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Towards Solving Comprehensibility-Relevance Trade-off in Information Retrieval Kouichi Akamatsu

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        Source URL: www.dl.kuis.kyoto-u.ac.jp

        Language: English - Date: 2016-05-26 21:45:02
          45Information Retrieval System Evaluation October 3, Module name: Information Retrieval System Evaluation 2. Scope: The module introduces the evaluation in information retrieval. It focuses on the standard measurem

          Information Retrieval System Evaluation October 3, Module name: Information Retrieval System Evaluation 2. Scope: The module introduces the evaluation in information retrieval. It focuses on the standard measurem

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          Source URL: curric.dlib.vt.edu

          Language: English - Date: 2013-01-26 14:11:53
            46Implication-Based and Cardinality-Based Inclusions in Information Retrieval Patrick Bosc, Laurent Ughetto, Olivier Pivert, and Vincent Claveau Abstract— This paper investigates the use of fuzzy logic mechanisms coming

            Implication-Based and Cardinality-Based Inclusions in Information Retrieval Patrick Bosc, Laurent Ughetto, Olivier Pivert, and Vincent Claveau Abstract— This paper investigates the use of fuzzy logic mechanisms coming

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            Source URL: people.irisa.fr

            Language: English - Date: 2014-11-04 05:38:01
              47[slide 1] Quantum Mechanics and Information Retrieval: From Theory to Application ICTIR 2013 tutorial B. Piwowarski1

              [slide 1] Quantum Mechanics and Information Retrieval: From Theory to Application ICTIR 2013 tutorial B. Piwowarski1

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              Source URL: www.bpiwowar.net

              Language: English - Date: 2013-10-08 04:04:24
                48CSE 635 Spring 2016 Advanced Information Retrieval: Web, Text and Social Media Mining www.cedar.buffalo.edu/~rohini/CSE635 Registration #: 23780 M, W 5 – 6:20 pm

                CSE 635 Spring 2016 Advanced Information Retrieval: Web, Text and Social Media Mining www.cedar.buffalo.edu/~rohini/CSE635 Registration #: 23780 M, W 5 – 6:20 pm

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                Source URL: www.cedar.buffalo.edu

                - Date: 2015-11-01 13:51:30
                  49Private Information Retrieval from Storage Constrained Databases – Coded Caching meets PIR Maryam Abdul-Wahid Firas Almoualem

                  Private Information Retrieval from Storage Constrained Databases – Coded Caching meets PIR Maryam Abdul-Wahid Firas Almoualem

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                  Source URL: arxiv.org

                  - Date: 2017-11-14 21:53:41
                    50Fast and Precise Retrieval of Forward and Back Porting Information for Linux Device Drivers Julia Lawall, Derek Palinski, Lukas Gnirke, Gilles Muller Sorbonne Universit´es/UPMC/Inria/LIP6 Abstract

                    Fast and Precise Retrieval of Forward and Back Porting Information for Linux Device Drivers Julia Lawall, Derek Palinski, Lukas Gnirke, Gilles Muller Sorbonne Universit´es/UPMC/Inria/LIP6 Abstract

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                    Source URL: pages.lip6.fr

                    - Date: 2017-08-28 11:27:03