Precision and recall

Results: 1210



#Item
981Relevance feedback / Relevance / Text Retrieval Conference / Tf*idf / Precision and recall / Document retrieval / Ranking function / Latent semantic indexing / Search engine indexing / Information science / Information retrieval / Science

Evaluation of a Methodology for Modeling Term Relationship through Geometry: Experiments at TREC 2010 Relevance Feedback Track Emanuele Di Buccio∗ , Massimo Melucci∗ and Jian-Yun Nie∗∗ ∗

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 12:03:03
982Tf*idf / Precision and recall / Relevance / Loss given default / DFI / Information science / Information retrieval / Science

IRRA at TREC 2012: Divergence From Independence (DFI) Bekir Taner Din¸cer Department of Computer Engineering Department of Statistics Mu˜ gla University

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:19
983Information / Text Retrieval Conference / Relevance / IR evaluation / Precision and recall / Discounted cumulative gain / Relevance feedback / Information science / Information retrieval / Science

Overview of the TREC 2012 Web Track Charles L. A. Clarke University of Waterloo Nick Craswell Microsoft

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:23
984Text Retrieval Conference / Relevance / Precision and recall / Electronic health record / EHealth / Document retrieval / Medical record / Relevance feedback / TREC Genomics / Information science / Information retrieval / Science

Overview of the TREC 2012 Medical Records Track Ellen M. Voorhees National Institute of Standards and Technology William Hersh Oregon Health & Science University

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Source URL: trec.nist.gov

Language: English - Date: 2013-06-06 08:14:05
985Relevance feedback / Unified Medical Language System / SNOMED CT / International Statistical Classification of Diseases and Related Health Problems / Text Retrieval Conference / Document retrieval / Query expansion / Relevance / Precision and recall / Information science / Information retrieval / Science

Using Meta-data to search for Clinical Records: RMIT at TREC 2012 Medical Track Iman Amini* Mark Sanderson* David Martinez† Xiaodong Li* *RMIT Dept of Computer Science and NICTA, Australia †

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:20
986Information / Computational linguistics / Entity-relationship model / Search engine indexing / Named-entity recognition / Wikipedia / Precision and recall / Information science / Science / Information retrieval

Overview of the TREC 2010 Entity Track Krisztian Balog NTNU, Trondheim, Norway [removed] Pavel Serdyukov

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-29 11:02:41
987Enron / Relevance feedback / Relevance / Oil well / Precision and recall / Information retrieval / Science / Information

Indian Statistical Institute, Kolkata at TREC 2010 : Legal Interactive Kripabandhu Ghosh1 , Swapan Kumar Parui1 , Prasenjit Majumder2 , Ayan Bandyopadhyay1 and S. John J. Raja Singh3 1

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Source URL: trec.nist.gov

Language: English - Date: 2011-07-06 07:39:30
988Relevance feedback / Query expansion / Ranking function / Tf*idf / Precision and recall / Lucene / Twitter / Relevance / BM25 / Information science / Information retrieval / Science

TREC Microblog 2012 Track: Real-Time Algorithm for Microblog Ranking Systems Davide Feltoni Gurini Fabio Gasparetti

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:16
989Learning to rank / Twitter / Relevance / Query expansion / Precision and recall / Machine learning / Algorithm / Tf*idf / Information science / Information retrieval / Science

The University of Amsterdam at TREC 2012 Richard Berendsen Edgar Meij Daan Odijk Maarten de Rijke Wouter Weerkamp ISLA, University of Amsterdam http://ilps.science.uva.nl/ Abstract: We describe the participation of the

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:22
990Natural language processing / Statistical theory / Computational linguistics / Relevance feedback / Text Retrieval Conference / Relevance / Precision and recall / Statistical inference / Maximum likelihood / Science / Information / Information retrieval

DUTH does Probabilities of Relevance at the Legal Track ∗ Dim P. Papadopoulos Vicky S. Kalogeiton Avi Arampatzis

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-01 11:23:22
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