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Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor

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Computational Intelligence for Technology Enhanced Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 273))

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Abstract

Automation in learning process is one of the major technical breakthroughs in machine learning paradigm. A substantial boost in adaptive learning has been initiated by simple steps of bio-inspired algorithm to learn the collective pattern of tourist service environment. This chapter is devoted on a live project implementation and testing of a learning model prototype in tourist information system and service industry. The elaborated model is followed by result sessions, which demonstrate that artificial agents could mimic the collective service and product pattern effectively compared to other contemporary techniques. The cost optimization to address the service issues in tourism industry could also be achieved with the help of such prototype models.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, International Center, Mauritius

    Soumya Banerjee

  2. Siemens Program and System Engineering (Siemens PSE), Romania

    Monica Chis

  3. Department of Mechanical Engineering, Malviya National Institute of Technology, Jaipur, India

    G. S. Dangayach

Authors
  1. Soumya Banerjee
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  2. Monica Chis
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  3. G. S. Dangayach
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Editor information

Editors and Affiliations

  1. Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Campus Nord, Ed.Omega, C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Sciences Multimedia and Telecommunications, Open University of Catalonia, Rbla. Poblenou. 156, 08018, Barcelona, Spain

    Santi Caballé  & Thanasis Daradoumis  & 

  3. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  4. Department of Information Sciences, Open University of Catalonia, Av. Tibidabo 39-43, 08035, Barcelona, Spain

    Angel Alejandro Juan Perez

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Banerjee, S., Chis, M., Dangayach, G.S. (2010). Developing an Adaptive Learning Based Tourism Information System Using Ant Colony Metaphor. In: Xhafa, F., Caballé, S., Abraham, A., Daradoumis, T., Juan Perez, A.A. (eds) Computational Intelligence for Technology Enhanced Learning. Studies in Computational Intelligence, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11224-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-11224-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11223-2

  • Online ISBN: 978-3-642-11224-9

  • eBook Packages: EngineeringEngineering (R0)

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