科研项目相似度判别算法

IF 3.6 3区管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of Organizational and End User Computing Pub Date : 2023-10-12 DOI:10.4018/joeuc.332008

Chong Li, Jinjie Zhang, Anyu Wang, Xuemin Liu, Yunchsun Sun, Shibo Zhang, Zhixia Ji, Justin Z. Zhang

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引用次数: 0

摘要

项目管理面临的一个巨大挑战是在众多提案中准确有效地识别相似的研究项目。为了解决这一挑战，本文提出了一种基于USIF(无监督随机行走句子嵌入)的融合词序句子向量的改进生成方法来计算研究项目之间的相似度的算法。实验结果表明，该算法的准确率比现有方法提高了15.8%左右。通过引入复杂的研究合作图，提出了一种预检算法，以提高查询效率。结果表明，预检查方法平均减少了96%的查询时间开销。

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Similarity Discriminating Algorithm for Scientific Research Projects

An enormous challenge for project management is to identify similar research projects accurately and efficiently among numerous proposals. To address this challenge, this paper proposes an algorithm to calculate the similarity between research projects using an improved generating method for fused word order sentence vectors based on USIF (unsupervised random walk sentence embeddings). The experimental results show that the proposed algorithm is about 15.8% more accurate than the existing approaches. The authors also propose a pre-checking algorithm by introducing a complex research cooperation graph to enhance query efficiency. The results show the pre-checking method reduces the query time cost by 96% on average.

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来源期刊

Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

6.00

自引率

9.20%

发文量

期刊介绍： The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.