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URL: http://dm.postech.ac.kr/refmed/
Proper Citation: RefMED (RRID:SCR_011871)
Description: Relevance Feedback Search Engine for PubMed. When a user enters a keyword in the search box, the PubMed search results will be returned. The user then specifies on a sample of results how much they are relevant to what she intends to find, for example, by specifying whether each article is high relevant, somewhat relevant, or not relevant. Once the user clicks Push Feedback button, the system learns a relevance function from the feedback and returns the top articles ranked highly according to the relevance function. The user can repeat the process until she gets satisfying results.
Abbreviations: RefMED
Synonyms: RefMED: Relevance Feedback Search Engine for PubMed
Resource Type: database, data or information resource, service resource
Defining Citation: PMID:20406504
Keywords: relevance ranking, relevance, relevance feedback, data retrieval, data mining, knowledge discovery
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Pohang University of Science and Technology; Pohang; South Korea |
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The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant 2U24DK097771-09.
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