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Hybrid User Modelling Algorithms for Tourism Providers

In: Information and Communication Technologies in Tourism 2013

Author

Listed:
  • Isabel Torre

    (Department of eTourism and Cultural Heritage)

  • Maria Teresa Linaza

    (Department of eTourism and Cultural Heritage)

  • Ander Garcia

    (Department of eTourism and Cultural Heritage)

Abstract

Currently, tourism providers build tourist models by collecting some specific pieces of information and then combining the knowledge they have about the groups to which current tourists belong. This paper presents the BaliaTour user modelling and Recommender System, which combines several techniques and methodologies in order to enhance the modelling process when scarce of data about an individual tourist is available. The core of the model is based on the predictions made over stereotypes as a initial characterization of the user profile. The modelling is further refined and enhanced by the combination of explicit preferences and ratings provided by the user. As a result, the proposed approach takes advantage of every information piece known about tourists in tourism ecosystems. The main advantage of BaliaTour is to minimize the main drawbacks of each of the existing user modelling techniques to obtain a user model.

Suggested Citation

  • Isabel Torre & Maria Teresa Linaza & Ander Garcia, 2013. "Hybrid User Modelling Algorithms for Tourism Providers," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 483-494, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-36309-2_41
    DOI: 10.1007/978-3-642-36309-2_41
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