Text Retrieval Conference

Results: 814



#Item
681Latent semantic indexing / Document retrieval / Relevance / Query expansion / Precision and recall / Concept Search / Text Retrieval Conference / Information science / Information retrieval / Relevance feedback

Using Bag of Words (BOW) and Standard Deviations to Represent Expected Structures for Document Retrieval: A Way of Thinking that Leads to Method Choices ___________________________________________________________________

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:23
682Learning to rank / Relevance feedback / Text Retrieval Conference / Tf*idf / Vector space model / Twitter / Query expansion / Relevance / Language model / Information science / Information retrieval / Science

ICTNET at Microblog Track TREC 2012 Bolong Zhu1,2, Jinghua Gao1,2, Xiao Han1,2, Cunhui Shi1, Shenghua Liu1, Yue Liu1, Xueqi Cheng1 1 Institute of Computing Technology, Chinese Academy of Sciences, Beijing, [removed]Gradu

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:18
683Statistics / Tf*idf / Relevance / Text Retrieval Conference / Language model / Cluster analysis / Discounted cumulative gain / K-means clustering / Information science / Information retrieval / Science

University of Lugano at TREC 2010 Mostafa Keikha, Parvaz Mahdabi , Shima Gerani, Giacomo Inches , Javier Parapar†, Mark Carman and Fabio Crestani University of Lugano Department of Informatics Lugano, Switzerland

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-25 13:23:55
684Tf*idf / Relevance / Twitter / Query expansion / Vector space model / Text Retrieval Conference / Information science / Information retrieval / Relevance feedback

Using Stream Features for Instant Document Filtering Andreas Bauer Media Informatics Group University of Regensburg Regensburg, Germany

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:22
685Discounted cumulative gain / Search engine indexing / Document retrieval / Learning to rank / Text Retrieval Conference / Information science / Information retrieval / Relevance

University of Delaware at Diversity Task of Web Track 2010 Wei Zheng1 , Xuanhui Wang2 , and Hui Fang1 1 Department of ECE, University of Delaware

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Source URL: trec.nist.gov

Language: English - Date: 2011-02-23 10:42:22
686Text Retrieval Conference / Relevance feedback / Query expansion / Twitter / Document retrieval / Relevance / Precision and recall / Stop words / Information science / Information retrieval / Science

Overcoming Vocabulary Limitations in Twitter Microblogs Yubin Kim Reyyan Yeniterzi Jamie Callan

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:17
687Query language / Query expansion / TREC Genomics / Search engine indexing / Text Retrieval Conference / Document retrieval / Information science / Information retrieval / Relevance feedback

UCD IIRG at TREC 2012 Medical Track James Cogley, Nicola Stokes, John Dunnion and Joe Carthy School Of Computer Science and Informatics University College Dublin, Belfield, Dublin 4, Ireland. [removed],

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:21
688Information / Natural language processing / Spamming / Text Retrieval Conference / Relevance / Spamdexing / Spam / Precision and recall / Email spam / Information science / Information retrieval / Science

Overview of the TREC 2010 Web Track Charles L. A. Clarke University of Waterloo 1

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Source URL: trec.nist.gov

Language: English - Date: 2011-03-29 07:55:30
689SNOMED CT / Unified Medical Language System / Systematized Nomenclature of Medicine / Query expansion / Semantic similarity / Document retrieval / Text Retrieval Conference / Relevance / Information science / Information retrieval / Science

Exploiting SNOMED CT Concepts & Relationships for Clinical Information Retrieval: Australian e-Health Research Centre and Queensland University of Technology at the TREC 2012 Medical Track Bevan Koopman1,2∗, Guido Zucc

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:16
690Natural language processing / Information / Human–computer interaction / Text Retrieval Conference / Exploratory search / Document retrieval / Mineral exploration / Discovery learning / Information science / Information retrieval / Science

Using Exploration and Learning for Medical Records Search: An Experiment in Identifying Cohorts for Comparative Effectiveness Research By Harvey Hyman, PhD University of South Florida [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2013-02-12 08:11:22
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