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Personal Data and User Modelling in Tourism

In: Information and Communication Technologies in Tourism 2013

Author

Listed:
  • Ioannis Stavrakantonakis

    (STI Innsbruck University)

Abstract

According to recent studies and forecasts in the field of computer science, a significant portion of on-going research is related to the data that is generated and made available on the Web; this data is also known as ‘big data’ due to the volume of the storage space needed to retain it. This study aims to shed some light on the relation between the personal data that could be extracted from the Social Web and the various applications in the tourism domain that could profit from this personal data. The motivation is the design of an ecosystem that harnesses the power of shared personal data towards producing personalised services, offers and recommendations for users. One of the basic prerequisites, and the purpose of this investigation, is the creation of a user model specifically for the tourism sector, which aggregates the relevant tourism user properties.

Suggested Citation

  • Ioannis Stavrakantonakis, 2013. "Personal Data and User Modelling in Tourism," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 507-518, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-36309-2_43
    DOI: 10.1007/978-3-642-36309-2_43
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    Cited by:

    1. Almudena Nolasco-Cirugeda & Clara García-Mayor & Cristina Lupu & Alvaro Bernabeu-Bautista, 2022. "Scoping out urban areas of tourist interest though geolocated social media data: Bucharest as a case study," Information Technology & Tourism, Springer, vol. 24(3), pages 361-387, September.

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