An Application of Apriori Algorithm Association Rules Mining to Profiling the Heritage Visitors of Macau

Shanshan Qi () and Cora Un In Wong ()
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Shanshan Qi: Tourism College
Cora Un In Wong: Tourism College

A chapter in Information and Communication Technologies in Tourism 2015, 2015, pp 139-151 from Springer

Abstract: Abstract Heritage tourism has become one of the dominant forms of tourism. It is particularly important for Macau as a means to diversify Macau’s destination image from being exclusively a gaming city to a city of culture and events. Yet little is known about the success of the official re-positioning campaign. In particular what is attractive to cultural tourists remain understudied. This study adopts Apriori Algorithm Association Rules Mining to segment Macau’s tourists and to predict tourists’ preferences for the different local heritage attractions. User-generated data of TripAdvisor were the major source of data for the analysis. The findings of this paper show that the so-called “cultural tourists” who are interested in Macau heritage attractions appear to have profiles that are similar to those who are “non-cultural tourists”. It appears that the “cultural tourists” visited only a few renowned heritage sites. It is suggested that Macau is not yet successfully attracting large amount of visitors who are interested in heritage and culture. This study showcases a use of data mining method in tourism studies.

Keywords: TripAdvisor; Heritage tourism; Macau; Demographic characteristics; Association rules mining (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-14343-9_11

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DOI: 10.1007/978-3-319-14343-9_11

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