NavOptim coding: Supporting Website navigation optimisation using effort minimisation

Lowe, D; Kong, X

NavOptim coding: Supporting Website navigation optimisation using effort minimisation

Lowe, D Kong, X

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, 2004, pp. 91 - 97
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Lowe, D	en_US
dc.contributor.author	Kong, X https://orcid.org/0000-0001-7855-858X	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004, 2004, pp. 91 - 97	en_US
dc.identifier.isbn	0769521002	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2723
dc.description.abstract	Web applications have rapidly become critical to the interaction that organisations have with their external stakeholders. A major factor in the effectiveness of this interaction is the ease with which navigation within the application can occur, and especially the extent to which users can locate information and functionality which they are seeking. Effective design is however complicated by the multiple purposes and users which Web applications typically support. Despite the fact that this implies that navigation design is inherently an optimisation problem, few optimisation techniques have been applied in this domain - with most design techniques being based on intuition, general heuristics, or experimental refinement. In this paper we discuss this problem, and propose a navigation representation which can become the basis for optimisation techniques. © 2004 IEEE.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0211461
dc.relation.ispartof	Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004	en_US
dc.title	NavOptim coding: Supporting Website navigation optimisation using effort minimisation	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Beijing, China	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Web applications have rapidly become critical to the interaction that organisations have with their external stakeholders. A major factor in the effectiveness of this interaction is the ease with which navigation within the application can occur, and especially the extent to which users can locate information and functionality which they are seeking. Effective design is however complicated by the multiple purposes and users which Web applications typically support. Despite the fact that this implies that navigation design is inherently an optimisation problem, few optimisation techniques have been applied in this domain - with most design techniques being based on intuition, general heuristics, or experimental refinement. In this paper we discuss this problem, and propose a navigation representation which can become the basis for optimisation techniques. © 2004 IEEE.

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http://hdl.handle.net/10453/2723