Identifying emerging hotel preferences using emerging pattern mining technique

Li, Gang, Law, Rob, Vu, Huy Quan, Rong, Jia and Zhao, Xinyuan (Roy) 2015, Identifying emerging hotel preferences using emerging pattern mining technique, Tourism management, vol. 46, pp. 311-321, doi: 10.1016/j.tourman.2014.06.015.

Attached Files
Name Description MIMEType Size Downloads

Title Identifying emerging hotel preferences using emerging pattern mining technique
Author(s) Li, GangORCID iD for Li, Gang
Law, Rob
Vu, Huy Quan
Rong, Jia
Zhao, Xinyuan (Roy)
Journal name Tourism management
Volume number 46
Start page 311
End page 321
Total pages 11
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2015-02
ISSN 0261-5177
Keyword(s) Science & Technology
Social Sciences
Life Sciences & Biomedicine
Environmental Studies
Hospitality, Leisure, Sport & Tourism
Environmental Sciences & Ecology
Social Sciences - Other Topics
Business & Economics
Hotel preference
Data mining
Travel behavior
Emerging pattern mining
Natural language processing
Summary Hotel managers continue to find ways to understand traveler preferences, with the aim of improving their strategic planning, marketing, and product development. Traveler preference is unpredictable for example, hotel guests used to prefer having a telephone in the room, but now favor fast Internet connection. Changes in preference influence the performance of hotel businesses, thus creating the need to identify and address the demands of their guests. Most existing studies focus on current demand attributes and not on emerging ones. Thus, hotel managers may find it difficult to make appropriate decisions in response to changes in travelers' concerns. To address these challenges, this paper adopts Emerging Pattern Mining technique to identify emergent hotel features of interest to international travelers. Data are derived from 118,000 records of online reviews. The methods and findings can help hotel managers gain insights into travelers' interests, enabling the former to gain a better understanding of the rapid changes in tourist preferences.
Language eng
DOI 10.1016/j.tourman.2014.06.015
Field of Research 080109 Pattern Recognition and Data Mining
150402 Hospitality Management
1506 Tourism
1505 Marketing
1504 Commercial Services
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Elsevier
Persistent URL

Document type: Journal Article
Collections: School of Information Technology
2018 ERA Submission
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 19 times in TR Web of Science
Scopus Citation Count Cited 38 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 214 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Tue, 02 Feb 2016, 16:27:35 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