Information retrieval applications

Results: 317



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271Chapter 9  Recommendation Systems There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. We shall begin this chapter with a s

Chapter 9 Recommendation Systems There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. We shall begin this chapter with a s

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Source URL: infolab.stanford.edu

Language: English - Date: 2013-11-07 13:54:39
272Chapter 9  Recommendation Systems There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. We shall begin this chapter with a s

Chapter 9 Recommendation Systems There is an extensive class of Web applications that involve predicting user responses to options. Such a facility is called a recommendation system. We shall begin this chapter with a s

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Source URL: infolab.stanford.edu

Language: English - Date: 2012-07-04 16:03:50
273Microsoft Word - QA Short Talk.doc

Microsoft Word - QA Short Talk.doc

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Source URL: people.csail.mit.edu

Language: English - Date: 2004-07-24 18:10:48
274Fuzzy Constraint Based Answer Validation Steven Schockaert, Martine De Cock, and Etienne E. Kerre Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Research Unit, Krijgsl

Fuzzy Constraint Based Answer Validation Steven Schockaert, Martine De Cock, and Etienne E. Kerre Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Research Unit, Krijgsl

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Source URL: www.fuzzy.ugent.be

Language: English - Date: 2005-04-27 03:19:49
275IPL at ImageCLEF 2011 Medical Retrieval Task Yiannis Gkoufas, Anna Morou, Theodore Kalamboukis Information Processing Laboratory Department of Informatics Athens University of Economics and Business, Greece {gkoufas, mor

IPL at ImageCLEF 2011 Medical Retrieval Task Yiannis Gkoufas, Anna Morou, Theodore Kalamboukis Information Processing Laboratory Department of Informatics Athens University of Economics and Business, Greece {gkoufas, mor

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Source URL: ipl.cs.aueb.gr

Language: English - Date: 2013-09-14 08:09:18
276Excerpt from: Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications G. Miner, D. Delen, J. Elder, A. Fast, T. Hill, and R. Nisbet, Elsevier, January 2012 Available now: http://amzn.to/t

Excerpt from: Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications G. Miner, D. Delen, J. Elder, A. Fast, T. Hill, and R. Nisbet, Elsevier, January 2012 Available now: http://amzn.to/t

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Source URL: datamininglab.com

Language: English
277Microsoft Word - mmm06-zhaom2.doc

Microsoft Word - mmm06-zhaom2.doc

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Source URL: www.zhaoming.name

Language: English - Date: 2008-12-03 12:08:53
278Microsoft Word - mmm06-zhaom2.doc

Microsoft Word - mmm06-zhaom2.doc

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Source URL: www.mingzhao.name

Language: English - Date: 2009-04-24 01:57:41
279Volume 3, Number 2 June 2011 Published by the Association for Computing Machinery Special Interest Group on Multimedia

Volume 3, Number 2 June 2011 Published by the Association for Computing Machinery Special Interest Group on Multimedia

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Source URL: vefur.simula.no

Language: English - Date: 2011-10-20 08:41:53
280Volume 2, Number 4 December 2010 Published by the Association for Computing Machinery Special Interest Group on Multimedia

Volume 2, Number 4 December 2010 Published by the Association for Computing Machinery Special Interest Group on Multimedia

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Source URL: vefur.simula.no

Language: English - Date: 2011-10-20 08:42:17