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Identifying emerging hotel preferences using emerging pattern mining technique
journal contribution
posted on 2015-02-01, 00:00 authored by Gang LiGang Li, R Law, Huy Quan Vu, Jia Rong, X ZhaoHotel 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.
History
Journal
Tourism managementVolume
46Pagination
311 - 321Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0261-5177Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2015, ElsevierUsage metrics
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No categories selectedKeywords
Science & TechnologySocial SciencesLife Sciences & BiomedicineEnvironmental StudiesHospitality, Leisure, Sport & TourismManagementEnvironmental Sciences & EcologySocial Sciences - Other TopicsBusiness & EconomicsHotel preferenceData miningTravel behaviorEmerging pattern miningNatural language processingGENE-EXPRESSION PROFILESTOURISMRATINGSEXPECTATIONSDISCOVERYTRAVELERSREVIEWSRULES
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