Mapping of Tourism Destinations to Travel Behavioural Patterns

Conference paper


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.


User modelling Tourism recommender systems Tourism destinations Statistical analysis Cluster analysis Seven-factor model 


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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mete Sertkan
    • 1
  • Julia Neidhardt
    • 1
  • Hannes Werthner
    • 1
  1. 1.E-Commerce GroupTU WienViennaAustria

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