Discovering tourist preference for electing destinations: a pattern mining based approach

Islam, MR; Abdul Kader Jilani, MM; Miah, SJ; Akter, S; Ulhaq, A

Discovering tourist preference for electing destinations: a pattern mining based approach

Islam, MR Abdul Kader Jilani, MM Miah, SJ Akter, S Ulhaq, A

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Publisher:: Informa UK Limited
Publication Type:: Journal Article
Citation:: Asia Pacific Journal of Tourism Research, 2021, 26, (10), pp. 1081-1096
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Islam, MR
dc.contributor.author	Abdul Kader Jilani, MM
dc.contributor.author	Miah, SJ
dc.contributor.author	Akter, S
dc.contributor.author	Ulhaq, A
dc.date.accessioned	2022-05-13T23:57:23Z
dc.date.available	2022-05-13T23:57:23Z
dc.date.issued	2021-01-01
dc.identifier.citation	Asia Pacific Journal of Tourism Research, 2021, 26, (10), pp. 1081-1096
dc.identifier.issn	1094-1665
dc.identifier.issn	1741-6507
dc.identifier.uri	http://hdl.handle.net/10453/157328
dc.description.abstract	Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pattern mining (PPM) method as a solution framework for discovering tourist spots. Our PPM method finds and validates the most active tourist hot spots from tourist preferences dataset. The proposed framework facilitates an unbiased approach for optimal tourism destination management in tourism-friendly countries.
dc.language	en
dc.publisher	Informa UK Limited
dc.relation.ispartof	Asia Pacific Journal of Tourism Research
dc.relation.isbasedon	10.1080/10941665.2021.1954676
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1506 Tourism
dc.subject.classification	Sport, Leisure & Tourism
dc.title	Discovering tourist preference for electing destinations: a pattern mining based approach
dc.type	Journal Article
utslib.citation.volume	26
utslib.for	1506 Tourism
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 Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2022-05-13T23:57:20Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	26
utslib.citation.issue	10

Abstract:

Awareness and access to information on travel benefits may bear importance for tourist preference in selecting popular destination. Tourism businesses are continuously exploring to improve their competitive advantage and offering an effective method for assisting tourist in electing their preferred destinations. However, current studies are still at an emergent stage. This paper presents a tourists preferences dataset and introduces preference pattern mining (PPM) method as a solution framework for discovering tourist spots. Our PPM method finds and validates the most active tourist hot spots from tourist preferences dataset. The proposed framework facilitates an unbiased approach for optimal tourism destination management in tourism-friendly countries.

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http://hdl.handle.net/10453/157328