Faceted search augments lexical search with a faceted navigation system, allowing users to narrow results by applying filters based on a faceted classification of the items.[1] It is a parametric search technique.[2] A faceted classification system classifies each information element along multiple explicit dimensions, facets, enabling the classifications to be accessed and ordered in multiple ways rather than in a single, predetermined, taxonomic order.[1]
Facets correspond to properties of the information elements. They are often derived by analysis of the text of an item using entity extraction techniques or from pre-existing fields in a database such as author, descriptor, language, and format. Thus, existing web-pages, product descriptions or online collections of articles can be augmented with navigational facets.
Faceted search interfaces were first developed in the academic world by Ben Shneiderman, Steven Pollitt, Marti Hearst, and Gary Marchionini in the 1990s and 2000s.[3][4][5][6]
The most well-known of these efforts was the Flamenco research project at University of California, Berkeley led by Marti Hearst.[7] Concurrently, there was development of commercial faceted search systems, notably Endeca and Spotfire.
Within the academic community, faceted search has attracted interest primarily among library and information science researchers, and to some extent among computer science researchers specializing in information retrieval.[8]
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Tunkelang, Daniel (2009). "Faceted Search". Synthesis Lectures on Information Concepts, Retrieval, and Services. 1. Morgan & Claypool: 1–80. doi:10.2200/S00190ED1V01Y200904ICR005. S2CID 2430723.
^"Parametric Search, Faceted Search, and Taxonomies - New Idea Engineering". www.ideaeng.com. Retrieved 22 July 2022.
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Shneiderman, Ben (1994). "Dynamic queries for visual information seeking". IEEE Software. 11 (6): 70–77. doi:10.1109/52.329404. hdl:1903/388. S2CID 8021243.
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Pollitt, Steven; Smith, Martin; Treglown, Mark; Braekevelt, Patrick (1996). "View-based searching systems—progress towards effective disintermediation". Online Information 96 Proceedings: 433–441.
^Yee, Ka-Ping; Swearingen, Kirsten; Li, Kevin; Hearst, Marti (2003-04-05). "Faceted metadata for image search and browsing". Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI '03. New York, NY, USA: Association for Computing Machinery. pp. 401–408. doi:10.1145/642611.642681. ISBN 978-1-58113-630-2. S2CID 367518.
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Hill, Gary Marchionini; Interaction Design Laboratory, University of North Carolina at Chapel Hill Ben Brunk; Interaction Design Laboratory, University of North Carolina at Chapel (2003-01-03). Towards a General Relation Browser: A GUI for Information Architects. Texas Digital Library. OCLC 751844113.{{cite book}}: CS1 maint: multiple names: authors list (link)
^[1] Flamenco project
^"SIGIR'2006 Workshop on Faceted Search - Call for Participation". Facetedsearch.googlepages.com. 2006-08-10. Archived from the original on 2009-09-19. Retrieved 2019-03-19.
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