Rocchio Classification

Results: 23



#Item
11Learning Routing Queries in a Query Zone Amit Singhaly, Mandar Mitraz, Chris Buckleyyy AT&T Labs Research; [removed] Department of Computer Science, Cornell University; [removed] yySabir Resear

Learning Routing Queries in a Query Zone Amit Singhaly, Mandar Mitraz, Chris Buckleyyy AT&T Labs Research; [removed] Department of Computer Science, Cornell University; [removed] yySabir Resear

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Source URL: singhal.info

Language: English - Date: 2007-08-16 20:14:04
12Personalization / User / Google Search / Latent semantic indexing / Web query classification / Rocchio Classification / Information science / Information retrieval / Relevance feedback

Personalized Web Search by Mapping User Queries to Categories

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Source URL: www.cs.binghamton.edu

Language: English - Date: 2002-09-12 13:00:01
13Rutgers Filtering Work at TREC 2002: Adaptive and Batch Andrei Anghelescud , Endre Borosi , David Lewism , Vladimir Menkova , David Neuc and Paul Kantors [removed], [removed], ddlewis@worldne

Rutgers Filtering Work at TREC 2002: Adaptive and Batch Andrei Anghelescud , Endre Borosi , David Lewism , Vladimir Menkova , David Neuc and Paul Kantors [removed], [removed], ddlewis@worldne

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Source URL: trec.nist.gov

Language: English - Date: 2003-02-13 12:01:13
14Topical Diversity and Relevance Feedback Edgar Meij Jiyin He  Wouter Weerkamp

Topical Diversity and Relevance Feedback Edgar Meij Jiyin He Wouter Weerkamp

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-03 09:33:49
15Pairwise Document Classification for Relevance Feedback Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213

Pairwise Document Classification for Relevance Feedback Jonathan L. Elsas, Pinar Donmez, Jamie Callan, Jaime G. Carbonell Language Technologies Institute Carnegie Mellon University Pittsburgh, PA 15213

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 11:12:45
16Improving Interactive Retrieval by Combining Ranked Lists and Clustering Anton Leuski and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts

Improving Interactive Retrieval by Combining Ranked Lists and Clustering Anton Leuski and James Allan Center for Intelligent Information Retrieval Department of Computer Science University of Massachusetts

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Source URL: people.ict.usc.edu

Language: English - Date: 2010-04-15 22:00:00
17Microsoft Word - PRIS at 2009 Relevance Feedback track.docx

Microsoft Word - PRIS at 2009 Relevance Feedback track.docx

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Source URL: trec.nist.gov

Language: English - Date: 2010-01-26 07:42:56
18FUB at TREC 2008 Relevance Feedback Track: Extending Rocchio with Distributional Term Analysis Andrea Bernardini, Claudio Carpineto Fondazione Ugo Bordoni {a.berna, carpinet}@fub.it

FUB at TREC 2008 Relevance Feedback Track: Extending Rocchio with Distributional Term Analysis Andrea Bernardini, Claudio Carpineto Fondazione Ugo Bordoni {a.berna, carpinet}@fub.it

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:12
19DUTIR at TREC 2008 Relevance Feedback Track Xiaoling Sun, Yuan Lin, Hongfei Lin, Zhihao Yang Department of Computer Science and Technology, Dalian University of Technology No 2 LingGong Road Shahekou District, Dalian 116

DUTIR at TREC 2008 Relevance Feedback Track Xiaoling Sun, Yuan Lin, Hongfei Lin, Zhihao Yang Department of Computer Science and Technology, Dalian University of Technology No 2 LingGong Road Shahekou District, Dalian 116

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Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:14
20

PDF Document

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Source URL: www.liacs.nl

Language: English - Date: 2009-10-12 13:50:45