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dc.contributor.authorJ. Stephen Downieen_US
dc.contributor.editorHolger H. Hoosen_US
dc.contributor.editorDavid Bainbridgeen_US
dc.date.accessioned2004-10-21T04:26:21Z
dc.date.available2004-10-21T04:26:21Z
dc.date.issued2003-10-26en_US
dc.identifier.isbn0-9746194-0-Xen_US
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/7
dc.description.abstractThis paper outlines the findings-to-date of a project to assist in the efforts being made to establish a TREC-like evaluation paradigm within the Music Information Retrieval (MIR) research community. The findings and recommendations are based upon expert opinion garnered from members of the Information Retrieval (IR), Music Digital Library (MDL) and MIR communities with regard to the construction and implementation of scientifically valid evaluation frameworks. Proposed recommendations include the creation of data-rich query records that are both grounded in real-world requirements and neutral with respect to retrieval technique(s) being examined; adoption, and subsequent validation, of a “reasonable person” approach to “relevance” assessment; and, the development of a secure, yet accessible, research environment that allows researchers to remotely access the large-scale testbed collection.en_US
dc.format.extent221795 bytes
dc.format.mimetypeapplication/pdf
dc.languageenen_US
dc.language.isoen_US
dc.publisherJohns Hopkins Universityen_US
dc.subjectIR Systems and Algorithmsen_US
dc.subjectDigital Librariesen_US
dc.titleToward the Scientific Evaluation of Music Information Retrieval Systemsen_US
dc.typearticleen_US


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