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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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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