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Precision and recall
Results: 1210

#	Item
741	Microsoft PowerPoint - Dennis Mikel NATT QA summary[removed]final.pptx Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-04-15 16:21:28 Information science Benzene Mutagens Soil contamination Formaldehyde Arsenic Air pollution Precision and recall Data quality Chemistry Occupational safety and health Science
742	Example Test Question Answer IR systems are used iteratively. Users perform a search, and then refine the search terms based on the documents found. Recall and precision do not directly reflect the way a person uses th Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-05-14 21:59:00 Information Bioinformatics Precision and recall Library science Searching Relevance Relevance feedback Information science Information retrieval Science
743	Temporal Feedback for Tweet Search with Non-Parametric Density Estimation Miles Efron1 , Jimmy Lin2 , Jiyin He3 , and Arjen de Vries3 1 Graduate School of Library and Information Science, University of Illinois, Urbana- Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-18 10:50:18 Relevance feedback Text Retrieval Conference Relevance Probabilistic relevance model Precision and recall Query expansion Okapi BM25 Learning to rank Document retrieval Information science Information retrieval Science
744	Dynamic Ranked Retrieval Christina Brandt Thorsten Joachims Yisong Yue Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2010-11-16 10:55:40 Relevance feedback Discounted cumulative gain Query expansion Relevance Precision and recall Vector space model Search engine Human–computer information retrieval Information science Information retrieval Science
745	Empirical Comparison of IAOR and Google Scholar Literature Retrieval: A Case Study for Simulation Applications in Healthcare Systems Lawrence Bonczar, Graduate Research Assistant K. Preston White, Jr., Professor Departme Add to Reading List Source URL: www.palgrave-journals.com Language: English Information Searching Library science Natural language processing Precision and recall Journal of Simulation Simulation Relevance Full text search Information science Science Information retrieval
746	Classifier Stacking and Voting for Text Filtering Rada MIHALCEA University of North Texas Denton, Texas, [removed]removed] Abstract Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2003-02-13 12:02:49 Machine learning Information retrieval Natural language processing Parts of speech Statistical classification Classifier Precision and recall Gain Document classification Science Information science Statistics
747	The Music Information Retrieval Evaluation eXchange: Some Observations and Insights J. Stephen Downie, Andreas F. Ehmann, Mert Bay, and M. Cameron Jones* Abstract. Advances in the science and technology of Music Informat Add to Reading List Source URL: kaggle2.blob.core.windows.net Language: English - Date: 2012-07-12 22:19:05 Statistics Music information retrieval Precision and recall Score following Onset Mirex International Society for Music Information Retrieval F1 score Relevance Information science Information retrieval Science
748	AXES at TRECVid 2011 Kevin McGuinness1 , Robin Aly2 , Shu Chen1 , Mathieu Frappier1 Martijn Kleppe3 , Hyowon Lee1 , Roeland Ordelman2,4 Relja Arandjelovi´c5 , Mayank Juneja6 , C. V. Jawahar6 Andrea Vedaldi5 , Jochen Sch Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-01-10 13:32:24 Information retrieval Memory Recall Precision and recall Subject Science Information science Information
749	On Run Diversity in “Evaluation as a Service” Ellen M. Voorhees,1 Jimmy Lin,2 and Miles Efron3 1 National Institute of Standards and Technology The iSchool, University of Maryland, College Park Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-18 10:50:18 Information Relevance Precision and recall Text Retrieval Conference Information science Information retrieval Science
750	Modeling Score Distributions for Combining the Outputs of Search Engines R. Manmatha, T. Rath and F. Feng Center for Intelligent Information Retrieval Computer Science Department University of Massachusetts Add to Reading List Source URL: ciir.cs.umass.edu Language: English - Date: 2005-02-01 17:36:16 Text Retrieval Conference Mixture model Precision and recall Query expansion Relevance Normal distribution Probability distribution Relevance feedback Information science Information retrieval Science

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