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RETRACTED ARTICLE: Construction of fast retrieval model of e-commerce supply chain information system based on Bayesian network

Author

Listed:
  • Le Kang

    (Hubei University of Economics)

  • Yeping Chu

    (Hubei University of Economics)

  • Kaijun Leng

    (Hubei University of Economics
    China Academy of Social Sciences)

  • Inneke Nieuwenhuyse

    (Universiteit Hasselt)

Abstract

Bayesian network is a kind of uncertainty knowledge expression and reasoning tool, and it is an effective means to solve problems in related fields such as information retrieval. Considering the characteristics of e-commerce supply chain supply information and Bayesian network, a cognitive big data analysis method for intelligent information system is designed. The model uses a set of information sample documents to describe the query requirements and the documents to be detected. By calculating the similarity between them, the return results of the general search engine are sorted, thereby retrieving the supply chain supply information required by the user. Through numerical results, the precision of the source information retrieval model based on Bayesian network is also significantly higher than that of the trust network model and the inference network model, and the experimental data shows that the Bayesian network model has better retrieval performance than the trust network model and the inference network model. Therefore, when conducting large-scale e-commerce supply chain supply information collection, Bayesian network-based source information retrieval model is effective.

Suggested Citation

  • Le Kang & Yeping Chu & Kaijun Leng & Inneke Nieuwenhuyse, 2020. "RETRACTED ARTICLE: Construction of fast retrieval model of e-commerce supply chain information system based on Bayesian network," Information Systems and e-Business Management, Springer, vol. 18(4), pages 705-722, December.
    • Handle: RePEc:spr:infsem:v:18:y:2020:i:4:d:10.1007_s10257-018-00392-6
    DOI: 10.1007/s10257-018-00392-6
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    1. Alan D. Smith, 2006. "Informational exchanges and dynamics of internet pornography in an e-commerce environment," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 1(1/2), pages 170-190.
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