Relevance- and interface-driven clustering for visual information retrieval

doi:10.1016/j.is.2020.101592

Submit research Contact DRO

DRO

Relevance- and interface-driven clustering for visual information retrieval

Bouadjenek, Mohamed Reda, Sanner, Scott and Du, Yihao 2020, Relevance- and interface-driven clustering for visual information retrieval, Information systems, vol. 94, pp. 1-16, doi: 10.1016/j.is.2020.101592.

Attached Files
Name			Description	MIMEType		Size	Downloads

Title	Relevance- and interface-driven clustering for visual information retrieval
Author(s)	Bouadjenek, Mohamed Reda orcid.org/0000-0003-1807-430X Sanner, Scott Du, Yihao
Journal name	Information systems
Volume number	94
Article ID	101592
Start page	1
End page	16
Total pages	16
Publisher	Elsevier
Place of publication	Amsterdam, The Netherlands
Publication date	2020-12
ISSN	0306-4379
Keyword(s)	Visual information retrieval Relevance-driven Clustering Visual search user study Clustering via filter optimization
Language	eng
DOI	10.1016/j.is.2020.101592
Indigenous content	off
Field of Research	0806 Information Systems
HERDC Research category	C1 Refereed article in a scholarly journal
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30140086

Document type:	Journal Article
Collections:	Faculty of Science, Engineering and Built Environment School of Information Technology


Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Citation counts:	Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar
Access Statistics:	18 Abstract Views, 2 File Downloads - Detailed Statistics
Created:	Thu, 16 Jul 2020, 20:38:11 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.