Evaluating multi-criteria Connection mechanisms: A new algorithm for browsing digital archives.
Searching for articles of interest in a digital archive need not be through a free-form text search. In fact, many authors have suggested that the best way to find relevant items in an archive is to browse its contents rather than to search for specific keywords. The University of Central Florida’s...
| Publicado en: | Digital Scholarship in the Humanities Vol. 33; no. 3; pp. 540 - 548 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=131417026&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 131417026 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Sep2018 vid: 33 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 131417026 10.1093/llc/fqx057 ppf: 540 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P size: 311KB tig: atl: Evaluating multi-criteria Connection mechanisms: A new algorithm for browsing digital archives. aug: au: Giroux, Amy Larner Harper, Connie Wiegand, R Paul affil: Center for Humanities and Digital Research, University of Central Florida (UCF), Orlando, FL, USA RICHES, Department of History, University of Central Florida (UCF), Orlando, FL, USA Institute for Simulation and Training, University of Central Florida (UCF)), Orlando, FL, USA su: Multiple criteria decision making Digital libraries Algorithms Web browsing University of Central Florida sug: subj: Multiple criteria decision making Digital libraries Algorithms Web browsing University of Central Florida ab: Searching for articles of interest in a digital archive need not be through a free-form text search. In fact, many authors have suggested that the best way to find relevant items in an archive is to browse its contents rather than to search for specific keywords. The University of Central Florida’s Regional Initiative for Collecting Histories, Experiences and Stories (RICHES) project uses a multi-criteria Connections algorithm to make item selection recommendations and browse through the RICHES Mosaic Interface (RICHES MI)—an archive of digitized historical documents, imagery, and audio. The Connections algorithm allows researchers to examine a selected artifact and nearest related items in the archive based on multiple criteria from the metadata contained in the artifact of interest. To determine how effective the Connections algorithm was at presenting relevant material, it was compared to random selections and single criteria keyword searches. In this article we will show that the multi-criteria approach is not only better than randomly selected results it also selects more relevant items than single criteria keyword searches. In addition, the multi-criteria algorithm achieves a secondary benefit: it returns unanticipated relevant results that potentially yield new insights for the researcher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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