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Published in:
2018 | OriginalPaper | Chapter
Collaborative Filtering-Based Matching and Recommendation of Suppliers in Prefabricated Component Supply Chain
Authors : Juan Du, Hengqing Jing
Published in: International Conference on Applications and Techniques in Cyber Security and Intelligence
Publisher: Springer International Publishing
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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.