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Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study

St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAS), St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 199178 St. Petersburg, Russia
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Future Internet 2020, 12(10), 165; https://doi.org/10.3390/fi12100165
Received: 28 August 2020 / Revised: 20 September 2020 / Accepted: 25 September 2020 / Published: 28 September 2020
(This article belongs to the Section Techno-Social Smart Systems)
The tourism industry has been rapidly growing over the last years and IT technologies have had a great affect on tourists as well. Tourist behaviour analysis has been the subject of different research studies in recent years. This paper presents the digital pattern of life concept which simplifies the tourist behaviour models’ construction and usage. The digital pattern of life defines the general concepts of tourist behaviour, connects the tourist and the digital world and allows us to track behaviour changes over time. A literature review of the current state of the research in selected fields is performed for identifying the existing problems. The case studies of behaviour analysis based on classification, clustering and time series events behaviour models are shown. An ontological approach and artificial neural networks are used during behaviour model construction, training and evaluation. The gathered results can be used by smart tourism service developers and business stakeholders. View Full-Text
Keywords: neural networks; behaviour analysis; tourism; digital pattern of life neural networks; behaviour analysis; tourism; digital pattern of life
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Mikhailov, S.; Kashevnik, A. Tourist Behaviour Analysis Based on Digital Pattern of Life—An Approach and Case Study. Future Internet 2020, 12, 165.

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