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International Conference on Computing and Information Technology

IC2IT 2018: Recent Advances in Information and Communication Technology 2018 pp 306–313Cite as

Approaching Mobile Constraint-Based Recommendation to Car Parking System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 769))

Abstract

Although the car parking system has been emerged since last decade, it seems that helping car owners to find their suitable parking lots has been required, continuously. This can been seen from an effort in developing infrastructure as well as adopting technology of many parking areas, continuously. In the era of Internet of Thing (IOT), mobile application allows individual to access to the system easily. Moreover, the system itself adopts techniques to facilitate users as much as possible. One of those popular technique is the recommendation technique - not limited to E-Commence system. This paper proposes the constraint based recommendation techniques that can support car owners to find their parking lots via mobile application, efficiently. An experiment was set up to test the performance of recommendation and found that it was acceptable.

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Author information

Authors and Affiliations

  1. Information Technology Laboratory, Vincent Mary School of Science and Technology, Assumption University, Bangkok, Thailand

    Khin Mar Win & Benjawan Srisura

Authors
  1. Khin Mar Win
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  2. Benjawan Srisura
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Corresponding authors

Correspondence to Khin Mar Win or Benjawan Srisura .

Editor information

Editors and Affiliations

  1. LG Kommunikationsnetze, Fern Universität in Hagen, Hagen, Germany

    Herwig Unger

  2. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Sunantha Sodsee

  3. Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Bangkok, Thailand

    Phayung Meesad

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Win, K.M., Srisura, B. (2019). Approaching Mobile Constraint-Based Recommendation to Car Parking System. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_30

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