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

Md Rafiqul Islam, Munshi Muhammad Abdul Kader Jilani, Shah Jahan Miah, Sanjita Akter, Anwaar Ulhaq

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)1081-1096
Number of pages16
JournalAsia Pacific Journal of Tourism Research
Volume26
Issue number10
DOIs
Publication statusPublished - 31 Aug 2021

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