Machine learning-based cloud IOT platform for intelligent tourism information services
Abstract Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the information dissemination and exchange, making IoT technology an indispensable part of...
Main Authors: | , |
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Format: | Article |
Language: | English |
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SpringerOpen
2022-07-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13638-022-02138-y |
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author | Fangfei Bi Haotian Liu |
author_facet | Fangfei Bi Haotian Liu |
author_sort | Fangfei Bi |
collection | DOAJ |
description | Abstract Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the information dissemination and exchange, making IoT technology an indispensable part of next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Particularly, our proposed method of categorization could help tourists decide whether or not to visit a sightseeing attraction in a minutes. Cross-validation testing and performance assessment show that our designed platform can work effectively and efficiently by considering a variety of factors. |
first_indexed | 2024-04-12T08:44:02Z |
format | Article |
id | doaj.art-8841b9fde959408dbd33c9dbd12e2827 |
institution | Directory Open Access Journal |
issn | 1687-1499 |
language | English |
last_indexed | 2024-04-12T08:44:02Z |
publishDate | 2022-07-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Wireless Communications and Networking |
spelling | doaj.art-8841b9fde959408dbd33c9dbd12e28272022-12-22T03:39:45ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992022-07-012022111510.1186/s13638-022-02138-yMachine learning-based cloud IOT platform for intelligent tourism information servicesFangfei Bi0Haotian Liu1Xi’an Polytechnic University, Xi’an University of Architecture and TechnologyChina JIKAN Research Institute of Engineering Investigations and Design, Co. LtdAbstract Thanks to the continuous development of the tourism industry, the application of Internet of things (IoT) begins to boom among modern tourists. Smart tourism utilizes Internet of things to facilitate the information dissemination and exchange, making IoT technology an indispensable part of next-generation travelling tool kits. In this paper, based on visitor selection behavior, we develop a hybrid intelligent categorization approach. Particularly, our proposed method of categorization could help tourists decide whether or not to visit a sightseeing attraction in a minutes. Cross-validation testing and performance assessment show that our designed platform can work effectively and efficiently by considering a variety of factors.https://doi.org/10.1186/s13638-022-02138-ySmart tourismInternet of things (IoT)Machine learningHybrid cloud |
spellingShingle | Fangfei Bi Haotian Liu Machine learning-based cloud IOT platform for intelligent tourism information services EURASIP Journal on Wireless Communications and Networking Smart tourism Internet of things (IoT) Machine learning Hybrid cloud |
title | Machine learning-based cloud IOT platform for intelligent tourism information services |
title_full | Machine learning-based cloud IOT platform for intelligent tourism information services |
title_fullStr | Machine learning-based cloud IOT platform for intelligent tourism information services |
title_full_unstemmed | Machine learning-based cloud IOT platform for intelligent tourism information services |
title_short | Machine learning-based cloud IOT platform for intelligent tourism information services |
title_sort | machine learning based cloud iot platform for intelligent tourism information services |
topic | Smart tourism Internet of things (IoT) Machine learning Hybrid cloud |
url | https://doi.org/10.1186/s13638-022-02138-y |
work_keys_str_mv | AT fangfeibi machinelearningbasedcloudiotplatformforintelligenttourisminformationservices AT haotianliu machinelearningbasedcloudiotplatformforintelligenttourisminformationservices |