Model engine

Results: 992



#Item
151Lucene / Vector space model / Tf*idf / Doug Cutting / Inverted index / Latent semantic indexing / Search engine indexing / Information science / Information retrieval / Apache Solr

Better Search with Apache Lucene and Solr Grant Ingersoll November 19, 2007 Triangle Java User’s Group

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Source URL: www.trijug.org

Language: English - Date: 2014-03-19 22:31:02
152Full text search / Relevance / Vector space model / Web search engine / Google Search / Information science / Information retrieval / Search engine indexing

Effectiveness of Additional Representations for the Search Result Presentation on the Web∗ Hideo Joho and Joemon M. Jose Department of Computing Science University of Glasgow hideo,

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Source URL: www.dcs.gla.ac.uk

Language: English - Date: 2008-01-07 01:49:47
153Computing / B-tree / 4GL / XQuery / Lowest common ancestor / Vector space model / Search engine indexing / Chord / Information science / Graph theory / Information retrieval

XSEarch: A Semantic Search Engine for XML Sara Cohen Jonathan Mamou Yaron Kanza

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Source URL: www.vldb.org

Language: English - Date: 2006-07-29 01:21:20
154XML-Retrieval / Document retrieval / Search engine / Relational model / Okapi BM25 / Information science / Information retrieval / Tf*idf

The QMUL Team with Probabilistic SQL at Enterprise Track Thomas Roelleke Elham Ashoori Abstract

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Source URL: trec.nist.gov

Language: English
155Decision theory / Algorithm / Rule-based system / Interactor / Cyc / Science / Software / MARIA XML / Rule engines / Artificial intelligence / Business rules engine

MORE for Less: Model Recovery from Visual Interfaces for Multi-Device Application Design Yves Gaeremynck, Lawrence D. Bergman, Tessa Lau IBM TJ Watson Research Center 19 Skyline Drive Hawthorne, NYUSA

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Source URL: tlau.org

Language: English - Date: 2003-01-16 13:45:25
156Query expansion / Okapi BM25 / Relevance / Precision and recall / Language model / Search engine indexing / Zettair / Relevance feedback / Web query classification / Information science / Information retrieval / Query likelihood model

RMIT University at TREC 2005: Terabyte and Robust Track Yaniv Bernstein Bodo Billerbeck Steven Garcia Nicholas Lester Falk Scholer Justin Zobel School of Computer Science and Information Technology RMIT University, GPO B

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Source URL: trec.nist.gov

Language: English - Date: 2006-02-21 09:28:41
157Vector space model / Document retrieval / Tf*idf / Relevance / Search engine indexing / Query expansion / Text Retrieval Conference / Information science / Information retrieval / Relevance feedback

JHU/APL at TREC 2004: Robust and Terabyte Tracks Christine Piatko, James Mayfield, Paul McNamee, and Scott Cost Research and Technology Development Center The Johns Hopkins University Applied Physics LaboratoryJoh

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Source URL: trec.nist.gov

Language: English - Date: 2005-02-10 13:20:36
158Relevance / Vector space model / Search engine / Extended Boolean model / Information retrieval / Relevance feedback / Query expansion

1 Evaluation of Query Formulations in the Negotiated Query Refinement Process of Legal e-Discovery: UMKC at TREC 2007 Legal Track Feng C. Zhao, Yugyung Lee, Deep Medhi

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Source URL: trec.nist.gov

Language: English - Date: 2008-02-11 09:14:36
159Relevance feedback / N-gram / Text Retrieval Conference / Document retrieval / Precision and recall / Language model / Relevance / Search engine indexing / Tf*idf / Information science / Information retrieval / Science

The HAIRCUT System at TREC-9 Paul McNamee, James Mayfield, and Christine Piatko The Johns Hopkins University Applied Physics LaboratoryJohns Hopkins Road Laurel, MDUSA

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Source URL: trec.nist.gov

Language: English - Date: 2001-02-14 12:26:24
160Concept Search / Latent semantic indexing / WordNet / Query expansion / Precision and recall / Word-sense disambiguation / Topic model / Search engine indexing / Recall / Information science / Information retrieval / Science

Auto-Relevancy and Responsiveness Baseline II Improving Concept Search to Establish a Subset with Maximized Recall for Automated First Pass and Early Assessment Using Latent Semantic Indexing [LSI], Bigrams and WordNet 3

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:33
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