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International Conference on Applications and Techniques in Cyber Security and Intelligence

ATCI 2017: International Conference on Applications and Techniques in Cyber Security and Intelligence pp 128–139Cite as

Collaborative Filtering-Based Matching and Recommendation of Suppliers in Prefabricated Component Supply Chain

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 580))

Abstract

In the past 20 years, with the continuous growth of the prefabricated component supply chain, the integration of fragmented information in the supply chain has aroused wide attention. At present, the information of all aspects in the supply chain is isolated, and the problem of the separation of each ring is serious, which not only results in the isolated decision-making of the parties and the waste of resources, but also lead to inefficient supply chain. B2B come into being, which provides real-time data and information interaction for the parties in supply chain, and improve the overall efficiency of the supply chain. This paper focuses on the problem of supplier matching, in B2B platform, proposing a collaborative filtering recommendation algorithm based on matching suppliers, which recommend suppliers for the buyers accurately and improve the overall efficiency of the prefabricated construction industry supply chain.

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Acknowledgement

This work was supported by Natural Science Foundation of Shanghai Project under Grant 15ZR1415000.

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Authors and Affiliations

  1. SHU-UTS Business School, Shanghai University, Shanghai, 201800, China

    Juan Du & Hengqing Jing

  2. Shanghai University and Shanghai Urban Construction (Group) Corporation Research Center for Building Industrialization, Shanghai University, Shanghai, 200072, China

    Juan Du & Hengqing Jing

Authors
  1. Juan Du
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  2. Hengqing Jing
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Corresponding author

Correspondence to Juan Du .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, Victoria, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, Texas, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, New South Wales, Australia

    Rafiqul Islam

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Du, J., Jing, H. (2018). Collaborative Filtering-Based Matching and Recommendation of Suppliers in Prefabricated Component Supply Chain. In: Abawajy, J., Choo, KK., Islam, R. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence. ATCI 2017. Advances in Intelligent Systems and Computing, vol 580. Edizioni della Normale, Cham. https://doi.org/10.1007/978-3-319-67071-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-67071-3_19

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  • Publisher Name: Edizioni della Normale, Cham

  • Print ISBN: 978-3-319-67070-6

  • Online ISBN: 978-3-319-67071-3

  • eBook Packages: EngineeringEngineering (R0)

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