IDF

Results: 1826



#Item
371Learning to rank / Query expansion / Tf*idf / Relevance / Search engine indexing / Information science / Information retrieval / Twitter

TREC 2011 Microblog Track Experiments at Kobe University Taiki Miyanishi Naoto Okamura

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:30
372Relevance feedback / Document retrieval / Precision and recall / Relevance / Question answering / Tf*idf / Search engine indexing / N-gram / Language model / Information science / Information retrieval / Science

JHU/APL at TREC 2005: QA Retrieval and Robust Tracks James Mayfield and Paul McNamee Research and Technology Development Center The Johns Hopkins University Applied Physics LaboratoryJohns Hopkins Road, Laurel, Ma

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Source URL: trec.nist.gov

Language: English - Date: 2006-02-21 09:28:49
373Natural language processing / Statistical natural language processing / Tf*idf / Sentiment analysis / Search engine indexing / Language model / Subject / Okapi BM25 / Information science / Information retrieval / Science

RGU at the TREC Blog Track Malcolm Clark, Ulises Cervi˜ no Beresi, Stuart Watt, David Harper The School of Computing The Robert Gordon University Aberdeen, Scotland, United Kingdom

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Source URL: trec.nist.gov

Language: English - Date: 2007-02-16 13:07:46
374Web query classification / Tf*idf / Query expansion / Document retrieval / Euclidean vector / Rocchio Classification / Latent semantic indexing / Information science / Information retrieval / Vector space model

Meiji University Web, Novelty and Genomics Track Experiments Tomoe Tomiyama, Kosuke Karoji, Takeshi Kondo, Yuichi Kakuta and Tomohiro Takagi Department of Computer Science, Meiji University {tomiyama, karoji, t-kondo, ka

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Source URL: trec.nist.gov

Language: English - Date: 2005-02-10 13:20:37
375Natural language processing / Computational linguistics / Statistical natural language processing / Tf*idf / Lemur Project / Text Retrieval Conference / Word-sense disambiguation / Query expansion / Document retrieval / Information science / Information retrieval / Science

NLPR at TREC 2004: Robust Experiments Jin Xu, Jun Zhao, Bo Xu National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Science Beijing, China { jxu, jzhao, bxu }@nlpr.ia.ac.cn

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Source URL: trec.nist.gov

Language: English - Date: 2005-02-10 13:20:34
376Query expansion / Tf*idf / N-gram / Relevance / Document retrieval / Information science / Information retrieval / Science

University of Glasgow at TREC 2006: Experiments in Terabyte and Enterprise Tracks with Terrier Christina Lioma, Craig Macdonald, Vassilis Plachouras, Jie Peng, Ben He, Iadh Ounis Department of Computing Science Universit

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Source URL: trec.nist.gov

Language: English - Date: 2007-02-16 13:07:48
377Learning to rank / Relevance feedback / Tf*idf / Google Search / Information science / Information retrieval / Twitter

ICTNET at Microblog Track TREC 2011† 1,2 1,2 1,2

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Source URL: trec.nist.gov

Language: English - Date: 2012-02-03 09:41:50
378Vector space model / Tf*idf / Search engine indexing / Relevance / Inverted index / Interval tree / Information science / Information retrieval / Science

Temporal-Textual Retrieval: Time and Keyword Search in Web Documents Ali Khodaei, Cyrus Shahabi Computer Science Department, University of Southern California, USA and Amir Khodaei

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Source URL: infolab.usc.edu

Language: English - Date: 2012-12-19 18:26:26
379Relevance feedback / Text Retrieval Conference / Tf*idf / Query expansion / Relevance / RetrievalWare / Vector space model / Information science / Information retrieval / Science

TREC-8 Automatic Ad-Hoc Experiments at Fondazione Ugo Bordoni Claudio Carpineto and Giovanni Romano Fondazione Ugo Bordoni, Rome Italy {carpinet, romano}@fub.it

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Source URL: trec.nist.gov

Language: English - Date: 2000-02-04 12:45:00
380Okapi BM25 / Text Retrieval Conference / Relevance / Language model / Tf*idf / Probabilistic relevance model / Ranking function / Precision and recall / N-gram / Information science / Information retrieval / Science

A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval Min Zhang Xingyao Ye

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Source URL: www.thuir.cn

Language: English - Date: 2008-12-23 05:27:37
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