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International Conference on Innovative Computing and Communications pp 285–293Cite as

The Proposed Context Matching Algorithm and Its Application for User Preferences of Tourism in COVID-19 Pandemic

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 471)

Abstract

Currently, many applications of information search tourism are limited in the COVID-19 pandemic using a search engine. However, most application service online has not supported directly, matching end users with their preferences to find suitable tourist places. This paper has presented a proposed model using the Context Matching algorithm mostly based on the Smartphones; matching with user’s preferences and behaviors allows users to find tourism packages and regions. The experimental results show that the proposed model achieves significant improvements in matching user preferences for the domain under dynamic uncertainty. We posit that our novel approach holds the prospect of improvements in user preferences for tourism and weather in the COVID-19 Pandemic.

Keywords

  • Service context
  • Context matching algorithm
  • The weather forecast
  • The help system

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Acknowledgements

This work was supported by the University of Economics Ho Chi Minh City (UEH), Vietnam under project CS-2021-51.

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Authors and Affiliations

  1. Hanoi University of Science and Technology, Hanoi, Vietnam

    Van Hai Pham

  2. University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam

    Quoc Hung Nguyen, Viet Phuong Truong & Le Phuc Thinh Tran

Authors
  1. Van Hai Pham
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  2. Quoc Hung Nguyen
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  3. Viet Phuong Truong
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  4. Le Phuc Thinh Tran
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Corresponding author

Correspondence to Quoc Hung Nguyen .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  2. Department of Computer Science Engineering, Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Ashish Khanna

  3. Rajnagar Mahavidyalaya, Birbhum, West Bengal, India

    Siddhartha Bhattacharyya

  4. Department of Information Technology, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  5. Department of Computer Science, Sukhdev College of Business Studies, University of Delhi, Delhi, India

    Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India

    Ajay Jaiswal

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Pham, V.H., Nguyen, Q.H., Truong, V.P., Tran, L.P.T. (2023). The Proposed Context Matching Algorithm and Its Application for User Preferences of Tourism in COVID-19 Pandemic. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-19-2535-1_22

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  • DOI: https://doi.org/10.1007/978-981-19-2535-1_22

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2534-4

  • Online ISBN: 978-981-19-2535-1

  • eBook Packages: EngineeringEngineering (R0)

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