Journal of Korean Institute of Industrial Engineers (대한산업공학회지)

Korean Institute of Industrial Engineers (대한산업공학회)
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An Implementation of the B2B e-Marketplace Product Recommendation System using Genetic Algorithm

유전자 알고리즘을 이용한 B2B e-Marketplace 상품제안시스템 구현

  • Park, Hyunki (Dept. of Industrial and Information Systems Engineering, Seoul National University of Science and Technology) ;
  • Ahn, Jaekyoung (Dept. of Industrial and Information Systems Engineering, Seoul National University of Science and Technology)
  • 박현기 (서울과학기술대학교 IT정책전문대학원) ;
  • 안재경 (서울과학기술대학교 IT정책전문대학원)
  • Received : 2012.07.04
  • Accepted : 2013.01.10
  • Published : 2013.04.15
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Abstract

In B2B e-Marketplace for free gifts and goods, product-mix recommendation is provided frequently by analysing customer logs and/or performing collaborative and rules-based filtering. This study proposes a new process that encompasses the genetic algorithm and key working processes of B2B e-marketplace based on the previous cooperate client order data. Efficiency and accuracy of the proposed system have been confirmed by cross-confirmation of accumulated data in the e-marketplace. The system can provide better opportunities for manufactures and suppliers to select optimized product-mix without time consuming trials and errors in their B2B e-marketplace networks.

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References

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