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Discovering highly profitable travel patterns by high-utility pattern mining
journal contribution
posted on 2020-04-01, 00:00 authored by Quan VuQuan Vu, Gang LiGang Li, Rob LawTravel diaries have been widely used by tourism researchers to gain insights into the travel behaviors of travelers because of their rich information. However, their potentials have not been fully utilized due to the unawareness of the utility information hidden within. Existing works have mainly focused on identifying popular travel patterns in the travel diaries, while overlooking their potential profitable benefits. To fill this gap, we introduce the concept of “utility” into the analysis of travel diaries and present high-utility pattern mining technique for the effective discovery of highly valuable travel patterns. We demonstrate the benefit of this approach through a case study using a large-scale travel diary data set constructed from venue check-in data. The findings are useful for tourism managers to develop valuable travel packages. The presented approach is general and can be applied to various tourism contexts to explore highly profitable travel and purchasing patterns.
History
Journal
Tourism ManagementVolume
77Article number
104008Pagination
1 - 13Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
ISSN
0261-5177Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2019, ElsevierUsage metrics
Keywords
High-utility pattern miningTravel diaryTwitterFoursquareCheck-insProfitable travel patternScience & TechnologySocial SciencesLife Sciences & BiomedicineEnvironmental StudiesHospitality, Leisure, Sport & TourismManagementEnvironmental Sciences & EcologySocial Sciences - Other TopicsBusiness & EconomicsMOVEMENT PATTERNSTOURIST BEHAVIORTRACKING DATABIG DATAITEMSETSDIARYInformation Systems
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