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Mapping of Tourism Destinations to Travel Behavioural Patterns

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Information and Communication Technologies in Tourism 2018

Abstract

Tourism is an information intensive domain, where recommender systems have become an essential tool to guide customers to the right products. However, they are facing major challenges, since tourism products are considered as complex and emotional. It has been shown that the seven-factor model is a legitimate way to counter some of these challenges. However, in order to recommend an item, it has also to be described in terms of this model. This work’s aim is to find a scalable way to map tourism destinations, defined by their attributes, to the seven-factor model. Through statistical analysis and learning methods it is shown that there is a significant relationship between particular destination features and the seven-factors and that destinations can be grouped in a meaningful way using their attributes.

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Author information

Authors and Affiliations

  1. E-Commerce Group, TU Wien, Vienna, Austria

    Mete Sertkan, Julia Neidhardt & Hannes Werthner

Authors
  1. Mete Sertkan
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  2. Julia Neidhardt
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  3. Hannes Werthner
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Corresponding author

Correspondence to Mete Sertkan .

Editor information

Editors and Affiliations

  1. School of Hospitality and Tourism Management, University of Surrey, Guildford, United Kingdom

    Brigitte Stangl

  2. Business School, Centre for Tourism Studies, University of Eastern Finland, Kuopio, Finland

    Juho Pesonen

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Sertkan, M., Neidhardt, J., Werthner, H. (2018). Mapping of Tourism Destinations to Travel Behavioural Patterns. In: Stangl, B., Pesonen, J. (eds) Information and Communication Technologies in Tourism 2018. Springer, Cham. https://doi.org/10.1007/978-3-319-72923-7_32

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