Query expansion

Results: 818



#Item
621Relevance feedback / Relevance / Query expansion / Precision and recall / Tf*idf / Language model / Search engine indexing / Rocchio Classification / Vector space model / Information science / Information retrieval / Science

Microsoft Word - PRIS at 2009 Relevance Feedback track.docx

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2010-01-26 07:42:56
622Web query classification / Full text search / Google Search / Document retrieval / Apache Solr / Search engine / Entrez / Query expansion / Information science / Information retrieval / Web search query

Finding information in books: characteristics of full-text searches in a collection of 10 million books Craig Willis , Miles Efron Graduate School of Library and Information Science University of Illinois at Urbana-Champ

Add to Reading List

Source URL: www.asis.org

Language: English - Date: 2014-07-19 18:51:51
623Natural language processing / Query expansion / Special Interest Group on Information Retrieval / Text Retrieval Conference / Information science / Information retrieval / Science

Relative Significance is Insufficient: Baselines Matter Too Timothy G. Armstrong, Justin Zobel, William Webber, Alistair Moffat Computer Science and Software Engineering The University of Melbourne, Victoria 3010, Austra

Add to Reading List

Source URL: www.williamwebber.com

Language: English - Date: 2013-12-02 21:50:15
624Relevance feedback / Tf*idf / Vector space model / Query expansion / BM25 / Precision and recall / Relevance / Search engine indexing / Okapi BM25 / Information science / Information retrieval / Latent semantic indexing

Distributed EDLSI, BM25, and Power Norm at TREC 2008 April Kontostathis, Department of Mathematics and Computer Science, Ursinus College, Collegeville PA 19426, [removed] Andrew Lilly, Department of Compu

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:10
625Relevance feedback / Query expansion / Tf*idf / Relevance / Document retrieval / Precision and recall / Search engine indexing / Okapi BM25 / Information science / Information retrieval / Science

University of Iowa at TREC 2008 Legal and Relevance Feedback Tracks Brian Almquist,1 Yelena Mejova,2 Viet Ha-Thuc,2 and Padmini Srinivasan1,2,3 1 Department of Management Sciences 2 Computer Science Department

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:14
626Relevance feedback / Text Retrieval Conference / Document retrieval / Query expansion / Relevance / Precision and recall / Search engine indexing / Lemur Project / Information science / Information retrieval / Science

Universities of Avignon & Lyon III at TREC 2008: Enterprise Track Eric SanJuan∗ LIA & IUT STID, University of Avignon, FRANCE Nicolas Flavier†

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:14
627Cross-language information retrieval / Query expansion / Text segmentation / Document retrieval / Relevance feedback / Search engine indexing / SYSTRAN / Natural language processing / Information science / Information retrieval / Science

Effects of Term Segmentation on Chinese/English Cross-Language Information Retrieval Douglas W. Oard and Jianqiang Wang Digital Library Research Group College of Library and Information Services University of Maryland, C

Add to Reading List

Source URL: www.acsu.buffalo.edu

Language: English - Date: 2006-08-21 19:13:07
628Relevance feedback / Precision and recall / Relevance / PageRank / Query expansion / Search engine indexing / Proximity search / Web search engine / Full text search / Information science / Information retrieval / Science

TREC 2008 at the University at Buffalo: Legal and Blog Track Jianqiang Wang and Ying Sun Department of Library and Information Studies The State University of New York at Buffalo Buffalo, NY 14260, U.S.A.

Add to Reading List

Source URL: www.acsu.buffalo.edu

Language: English - Date: 2011-09-07 18:30:12
629Relevance feedback / Precision and recall / Tf*idf / Relevance / Lemur Project / Vector space model / Query expansion / Stemming / Natural language processing / Information science / Information retrieval / Science

A Hybrid Method for Opinion Finding Task (KUNLP at TREC 2008 Blog Track) Linh Hoang, Seung-Wook Lee, Gumwon Hong, Joo-Young Lee, Hae-Chang Rim Natural Language Processing Lab., Korea University (linh,swlee,gwhong,jylee,r

Add to Reading List

Source URL: trec.nist.gov

Language: English - Date: 2009-02-10 08:12:16
630Information / Document classification / Precision and recall / Query expansion / Document retrieval / Relevance / Subject / Information science / Information retrieval / Science

Microsoft Word - uic.at.trec.2008.blog.track.v3.doc

Add to Reading List

Source URL: trec.nist.gov

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