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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: data or information resource, database, service resource
Defining Citation: PMID:20406504
Keywords: relevance ranking, relevance, relevance feedback, data retrieval, data mining, knowledge discovery
Funding: Korean Government KRF-2009-0080667
Resource Name: RefMED
Resource ID: SCR_011871
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Pohang University of Science and Technology; Pohang; South Korea |
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
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 U24DK097771.
Email: info_at_ dknet.org
