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Price Comparisons on the Internet Based on Computational Intelligence

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  • Jun Woo Kim
  • Sung Ho Ha

Abstract

Information-intensive Web services such as price comparison sites have recently been gaining popularity. However, most users including novice shoppers have difficulty in browsing such sites because of the massive amount of information gathered and the uncertainty surrounding Web environments. Even conventional price comparison sites face various problems, which suggests the necessity of a new approach to address these problems. Therefore, for this study, an intelligent product search system was developed that enables price comparisons for online shoppers in a more effective manner. In particular, the developed system adopts linguistic price ratings based on fuzzy logic to accommodate user-defined price ranges, and personalizes product recommendations based on linguistic product clusters, which help online shoppers find desired items in a convenient manner.

Suggested Citation

  • Jun Woo Kim & Sung Ho Ha, 2014. "Price Comparisons on the Internet Based on Computational Intelligence," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-13, September.
    • Handle: RePEc:plo:pone00:0106946
    DOI: 10.1371/journal.pone.0106946
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    References listed on IDEAS

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    1. Michael R. Baye & John Morgan & Patrick Scholten, 2004. "Price Dispersion In The Small And In The Large: Evidence From An Internet Price Comparison Site," Journal of Industrial Economics, Wiley Blackwell, vol. 52(4), pages 463-496, December.
    2. Haynes, Michelle & Thompson, Steve, 2008. "Price, price dispersion and number of sellers at a low entry cost shopbot," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 459-472, March.
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