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Content Recommendation of Tender Documents Based on Qualitative Characteristics

In: Liss 2020

Author

Listed:
  • Tingting Zhou

    (University of Science and Technology Beijing)

  • Guiying Wei

    (University of Science and Technology Beijing)

  • Ai Wang

    (University of Science and Technology Beijing)

Abstract

Aiming at content recommendation of tender documents, this paper puts forward the case reuse and case modification algorithm of tender documents. First, according to the usage of clauses in tender cases, this paper uses non-interference sequence index to cluster similar tender cases and similar clauses, then based on which the reference samples and content modules of the tender documents were constructed. Finally, recommended value of reference samples and difference degrees between content modules were used respectively to realize content recommendation. This algorithm ensures the scientificity of the tender documents’ preparation and the accuracy of the recommended content, and greatly improves the efficiency while reducing the scope of the recommended content.

Suggested Citation

  • Tingting Zhou & Guiying Wei & Ai Wang, 2021. "Content Recommendation of Tender Documents Based on Qualitative Characteristics," Springer Books, in: Shifeng Liu & Gábor Bohács & Xianliang Shi & Xiaopu Shang & Anqiang Huang (ed.), Liss 2020, pages 305-321, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-4359-7_22
    DOI: 10.1007/978-981-33-4359-7_22
    as

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