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The 8th International Conference on Knowledge Management in Organizations pp 341–346Cite as

Design and Development of a Location-Based Advertising and Recommending System

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Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

This paper designs and develops a prototype of Location-based Advertising and Recommending System (LBARS) system. The LBARS utilizes the techniques of GIS, GPS and location-based service to sense users’ location and send advertising message to those who are within the defined area and/or time zone. A salient function of the system mechanism is to recommend advertising messages with priority according to parameters that include user defined preference, distance and time. An illustrated example is used to demonstrate the prototype system.

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Author information

Authors and Affiliations

  1. Department of Information Management, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih District, 811, Kaohsiung, Taiwan, Republic of China

    Chien-Hsing Wu, Dong-Jyu Huang & Flora Peng

Authors
  1. Chien-Hsing Wu
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  2. Dong-Jyu Huang
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  3. Flora Peng
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Corresponding author

Correspondence to Chien-Hsing Wu .

Editor information

Editors and Affiliations

  1. School of Computing, Staffordshire University, Stafford, United Kingdom

    Lorna Uden

  2. College of Management, National University of Kaohsiung, Kaohsiung, Taiwan, Taiwan

    Leon S.L. Wang

  3. and Control Faculty of Science, Universidad Salamanca Department of Computing Science, Salamanca, Spain

    Juan Manuel Corchado Rodríguez

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Hsin-Chang Yang

  5. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan, Taiwan

    I-Hsien Ting

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© 2014 Springer Science+Business Media Dordrecht

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Cite this paper

Wu, CH., Huang, DJ., Peng, F. (2014). Design and Development of a Location-Based Advertising and Recommending System. In: Uden, L., Wang, L., Corchado Rodríguez, J., Yang, HC., Ting, IH. (eds) The 8th International Conference on Knowledge Management in Organizations. Springer Proceedings in Complexity. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7287-8_27

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  • DOI: https://doi.org/10.1007/978-94-007-7287-8_27

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7286-1

  • Online ISBN: 978-94-007-7287-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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