Precision and recall

Results: 1210



#Item
781Information / Inverted index / Document retrieval / Search engine indexing / Search engine / Tf*idf / Document classification / Precision and recall / Knowledge retrieval / Information science / Information retrieval / Science

DRAFT! © April 1, 2009 Cambridge University Press. Feedback welcome. 1 INFORMATION RETRIEVAL

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Source URL: nlp.stanford.edu

Language: English - Date: 2009-04-01 00:34:30
782Relevance feedback / Query expansion / Relevance / Tf*idf / Precision and recall / Search engine indexing / Discounted cumulative gain / Enterprise search / Text Retrieval Conference / Information science / Information retrieval / Science

University of Glasgow at TREC 2009: Experiments with Terrier Blog, Entity, Million Query, Relevance Feedback, and Web tracks Richard McCreadie, Craig Macdonald, Iadh Ounis, Jie Peng, Rodrygo L.T. Santos Department of Com

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Source URL: trec.nist.gov

Language: English - Date: 2010-02-04 08:00:28
783Document retrieval / Legal information retrieval / Free Access to Law Movement / Bing / Westlaw / Full text search / Cross-reference / Precision and recall / Search engine indexing / Information science / Information retrieval / Science

Jon Bing and the History of Computerised Legal Research – Some Missing Links GRAHAM GREENLEAF* [A chapter in Olav Torvund and Lee Bygrave (Eds) Et tilbakeblikk på fremtiden ("Looking back at the future"), Institutt fo

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Source URL: www2.austlii.edu.au

Language: English - Date: 2008-02-14 06:46:34
784Learning to rank / Ranking function / Recommender system / Tf*idf / Relevance / Precision and recall / Collaborative filtering / Vector space model / Search engine indexing / Information science / Information retrieval / Science

CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks Alejandro Bellogín† , Gebrekirstos G. Gebremeskel† , Jiyin He† , Jimmy Lin∗ , Alan Said† , Thaer Samar† , Arjen

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:25
785Information / Association rule learning / Apriori algorithm / Subgroup / Algorithm / Precision and recall / Tree / Data mining / Information science / Statistics

SD-Map – A Fast Algorithm for Exhaustive Subgroup Discovery Martin Atzmueller and Frank Puppe University of W¨urzburg, 97074 W¨urzburg, Germany Department of Computer Science Phone: +[removed], Fax: +[removed]

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Source URL: ki.informatik.uni-wuerzburg.de

Language: English - Date: 2013-04-02 16:26:20
786Information retrieval / Information / Precision and recall / Data model / SSF / Subject / Text analytics / Science / Natural language processing / Information science

1   Evaluating Stream Filtering for Entity Profile Updates for TREC 2013   (KBA Track Overview)   1 1 1

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Source URL: trec.nist.gov

Language: English - Date: 2014-03-07 08:40:45
787Mental processes / Information / Recall / Precision and recall / Science / Mind / Memory

Form 4 - RECALL NOTIFICATION The following information is to aid you when contacting people to recall your product. Fill out one sheet for each group contacted.

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Source URL: onfarmfoodsafety.org

Language: English - Date: 2011-03-14 16:02:14
788Relevance feedback / Web search query / Relevance / IR evaluation / Precision and recall / MORE / Query expansion / Discounted cumulative gain / Text Retrieval Conference / Information science / Information retrieval / Science

TREC 2013 Web Track Overview Kevyn Collins-Thompson University of Michigan Paul Bennett, Fernando Diaz Microsoft Research

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
789Statistics / Pattern matching / Precision and recall / TeX / Science / Information science / Information retrieval

A Pattern Matching Approach to Streaming Slot Filling Hung Nguyen, Yi Fang, Sandhya Gade, Vijay Mysore, Juan Hu, Sabita Pandit, Aparna Srinivasan, Miao Jiang Department of Computer Engineering, Santa Clara University 500

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
790Relevance feedback / Query expansion / Language model / Precision and recall / Tf*idf / Relevance / Data model / Search engine indexing / Information science / Information retrieval / Science

UMass at TREC 2013 Knowledge Base Acceleration Track: Bi-directional Entity Linking and Time-aware Evaluation Laura Dietz University of Massachusetts, Amherst [removed]

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Source URL: trec.nist.gov

Language: English - Date: 2014-02-28 12:39:27
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