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Progress in Advanced Computing and Intelligent Engineering pp 447–458Cite as

Tourism Recommendation Using Machine Learning Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 564))

Abstract

Puri tourism has always remained as the best tourist spot in Odisha. Researchers and town planners have always taken steps in finding out for proper tourism recommendation. But always they have preferred the method of machine learning approach for the tour recommendation models. Some methods give good simulation data but sometimes artificial neural network (ANN) and regression analysis techniques give better results. In this paper, Puri tourism recommendation method has been modelled based on the SOM architect, and by revenue management system. Here, a complete comparison has been described between supervised and unsupervised machine learning technique for tourism recommendation in Puri.

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Authors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, India

    Anjali Dewangan & Rajdeep Chatterjee

Authors
  1. Anjali Dewangan
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  2. Rajdeep Chatterjee
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Corresponding author

Correspondence to Anjali Dewangan .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Bialystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. Dept. of Computer Science & Engg., University of Calcutta Dept. of Computer Science & Engg., Kolkata, West Bengal, India

    Nabendu Chaki

  3. C. V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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© 2018 Springer Nature Singapore Pte Ltd.

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Dewangan, A., Chatterjee, R. (2018). Tourism Recommendation Using Machine Learning Approach. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_44

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  • DOI: https://doi.org/10.1007/978-981-10-6875-1_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6874-4

  • Online ISBN: 978-981-10-6875-1

  • eBook Packages: EngineeringEngineering (R0)

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