Precision and recall

Results: 1210



#Item
491American Chemical Society / Natural language processing / Information retrieval / Named-entity recognition / F1 score / Chemistry / ChemSpider / Chunking / Precision and recall / Science / Computational linguistics / Chemical databases

Akhondi et al. Journal of Cheminformatics 2015, 7(Suppl 1):S10 http://www.jcheminf.com/content/7/S1/S10 RESEARCH Open Access

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Source URL: www.jcheminf.com

Language: English
492Information / Relevance feedback / Relevance / Precision and recall / Twitter / Information science / Information retrieval / Science

NovaSearch at TREC 2014 Microblog Track: Reranking with Wikipedia Page Views Fl´ avio Martins and Jo˜ao Magalh˜aes Faculdade de Ciˆencias e Tecnologia Universidade Nova de Lisboa

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:37
493Web search query / Precision and recall / Query / Search engine indexing / Information science / Information retrieval / Relevance feedback

The Effects of Choice in Routing Relevance Judgments Edith Law Paul N. Bennett Eric Horvitz

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Source URL: research.microsoft.com

Language: English - Date: 2011-05-30 14:36:56
494Twitter / Query expansion / Text Retrieval Conference / Lucene / Relevance / Precision and recall / Tweet / Information science / Information retrieval / Science

Siena’s Twitter Information Retrieval System: The 2014 Microblog Track Timothy LaRock, Lauren Mathews, Matthew Roberts Dr. Darren Lim & Dr. Sharon Small Siena College Loudonville, NY 12211

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:37
495Text Retrieval Conference / Tf*idf / Document retrieval / Precision and recall / Mode / H5 / Automatic summarization / Information science / Information retrieval / Science

D:/Rafik/MyPhD/articles to write/paper trec ts 2014/trec_ts_2014.dvi

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Source URL: trec.nist.gov

Language: English - Date: 2015-02-09 16:44:36
496Information / Natural language processing / Precision and recall / Decision theory / Discounted cumulative gain / Relevance / Recommender system / Preference / Utility / Science / Information science / Information retrieval

Evaluation Measures for Preference Judgments Ben Carterette Paul N. Bennett Center for Intelligent Information Retrieval

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Source URL: research.microsoft.com

Language: English - Date: 2008-04-29 16:08:56
497Information retrieval / Statistics / Discounted cumulative gain / Precision and recall / Preference / Utility / Choice / Decision theory / Science / Information science

Here or There Preference Judgments for Relevance Ben Carterette1 , Paul N. Bennett2 , David Maxwell Chickering3 , and Susan T. Dumais2 1

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Source URL: research.microsoft.com

Language: English - Date: 2008-06-12 22:22:07
498Learning to rank / Discounted cumulative gain / Relevance / Precision and recall / Active learning / Information science / Information retrieval / Science

Active Query Selection for Learning Rankers Mustafa Bilgic Paul N. Bennett Illinois Institute of Technology, Chicago, IL

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Source URL: research.microsoft.com

Language: English - Date: 2012-06-13 11:58:47
499Relevance / Discounted cumulative gain / Precision and recall / Text Retrieval Conference / Learning to rank / Information science / Information retrieval / Science

Learning to Selectively Rank Patients’ Medical History Nut Limsopatham1 , Craig Macdonald2 , Iadh Ounis2 [removed]1 , [removed]2 School of Computing Science University of Glasgow, Glasg

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

Language: English - Date: 2013-08-12 06:17:10
500Information science / Bioinformatics / Information retrieval / Precision and recall / Grade / Recall / Education / Knowledge / Science

AS History Marking Grid E GRADE 1 2 3 4 5 A GRADE Recall and select relevant information. Lack of focus on the main issues. Narrative style. E D C B A Recall, select and deploy relevant, comprehensive knowledge. Respond

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Source URL: www.schoolshistory.org.uk

Language: English - Date: 2012-07-12 07:04:11
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