Text Retrieval Conference

Results: 814



#Item
601Relevance feedback / Spam / Adversarial information retrieval / Email spam / Precision and recall / Relevance / Discounted cumulative gain / Search engine indexing / Text Retrieval Conference / Information science / Information retrieval / Science

University of Twente @ TREC 2009: Indexing half a billion web pages Claudia Hauff and Djoerd Hiemstra University of Twente, The Netherlands {c.hauff, hiemstra}@cs.utwente.nl – draft –

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Source URL: trec.nist.gov

Language: English - Date: 2010-01-28 14:49:40
602Relevance feedback / Tf*idf / Vector space model / Relevance / Text Retrieval Conference / Query expansion / Bose–Einstein statistics / Okapi BM25 / Probabilistic relevance model / Information science / Information retrieval / Science

York University at TREC 2009: Relevance Feedback Track Zheng Ye1,2 , Xiangji Huang1 , Ben He1 , Hongfei Lin2 1 Information Retrieval and Knowledge Managment Lab, York University, Toronto, Canada 2

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 08:25:33
603Text Retrieval Conference / Relevance feedback / Query expansion / Tf*idf / BM25 / Search engine indexing / Document retrieval / Precision and recall / Okapi BM25 / Information science / Information retrieval / Science

York University at TREC 2009: Chemical Track 1 Jiashu Zhao1 , Xiangji Huang1 , Zheng Ye1,2 , Jianhan Zhu3 Information Retrieval and Knowledge Managment Lab, York University, Toronto, Canada 2

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 08:25:30
604Patent offices / Prior art / Property law / Science / Patent / United States Patent and Trademark Office / TREC Genomics / Information retrieval / Text Retrieval Conference / Patent law / Natural language processing / Civil law

Report on the TREC 2009 Experiments: Chemical IR Track J. Gobeill a, D. Teodorob, E. Patscheb, P. Ruchab a BiTeM group, University of Applied Sciences, Information Studies Department, Geneva b

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 11:18:11
605Science / Text Retrieval Conference / Information extraction / Okapi BM25 / Relevance / Probabilistic relevance model / Natural language processing / Information science / Information retrieval

Microsoft Word - trec-entity-ict-zhaihaijun.doc

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Source URL: trec.nist.gov

Language: English - Date: 2010-01-22 07:58:18
606Relevance feedback / Document clustering / Relevance / Document retrieval / Precision and recall / Search engine indexing / Samuel Adams / Text Retrieval Conference / Information science / Information retrieval / Science

Lighthouse: Showing the Way to Relevant Information Anton Leuski and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts Amherst, MA[removed]USA

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Source URL: people.ict.usc.edu

Language: English - Date: 2010-04-15 22:00:00
607Information retrieval / Computational linguistics / Text Retrieval Conference / Information extraction / Search engine indexing / Database / Information science / Science / Natural language processing

Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track V.G.Vinod Vydiswaran, Kavita Ganesan, Yuanhua Lv, Jing He, ChengXiang Zhai Department of Computer Science University of Illinois, Urbana, I

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Source URL: trec.nist.gov

Language: English - Date: 2010-03-18 11:28:02
608Search engine indexing / Entity-relationship model / Document retrieval / Named-entity recognition / Text Retrieval Conference / Information science / Information retrieval / Science

BUPT at TREC 2009: Entity Track Zhanyi Wang, Dongxin Liu, Weiran Xu, Guang Chen, Jun Guo Pattern Recognition and Intelligent System Lab, Beijing University of Posts and Telecommunications, Beijing, China, [removed]wangzhan

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-12 08:56:01
609Text Retrieval Conference / Concept Search / Enron / Custodians / Relevance feedback / Latent semantic indexing / Relevance / H5 / Information science / Information retrieval / Science

ZL Technologies at TREC 2009 Legal Interactive Comparing Exclusionary and Investigative Approaches for Electronic Discovery using the TREC Enron Corpus John Wang [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2010-05-28 10:31:57
610Relevance feedback / PageRank / Learning to rank / Text Retrieval Conference / Document retrieval / Discounted cumulative gain / Relevance / HITS algorithm / Ranking function / Information science / Information retrieval / Science

Microsoft Research at TREC 2009 Web and Relevance Feedback Tracks Nick Craswell, Dennis Fetterly, Marc Najork, Stephen Robertson, Emine Yilmaz Microsoft Research

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 12:40:38
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