计算机科学 ›› 2022, Vol. 49 ›› Issue (1): 159-165.doi: 10.11896/jsjkx.201200227

• 数据库&大数据&数据科学 • 上一篇    下一篇

面向企业工程问题的专家推荐算法

马建红, 张烔   

  1. 河北工业大学人工智能与数据科学学院 天津300401
  • 收稿日期:2020-12-26 修回日期:2021-05-26 出版日期:2022-01-15 发布日期:2022-01-18
  • 通讯作者: 张烔(973720271@qq.com)
  • 作者简介:m_zh2002@126.com
  • 基金资助:
    科技部创新方法工作专项项目(2019IM020300)

Expert Recommendation Algorithm for Enterprise Engineering Problems

MA Jian-hong, ZHANG Tong   

  1. School of Artificial Intelligence and Data Science,Hebei University of Technology,Tianjin 300401,China
  • Received:2020-12-26 Revised:2021-05-26 Online:2022-01-15 Published:2022-01-18
  • About author:MA Jian-hong,born in 1965,Ph.D,professor,is a member of China Computer Federation.Her main research interests include software engineering,natural language processing,knowledge graph and innovation theories.
    ZHANG Tong,born in 1995,postgra-duate.His main research interests include software engineering and natural language processing.
  • Supported by:
    Special Project of Innovative Methods of Ministry of Science and Technology(2019IM020300).

摘要: 企业生产一线经常会遇到各种工程难题,需要在专家的帮助下才能得到有效解决。当前的学术资源推荐系统没有深入挖掘问题与解决方案之间的潜在知识关联,无法针对某一工程问题推荐出合适的专家。针对待解决的企业工程问题推荐专家进行的系统研究如下:1)通过专家合著网络来计算专家影响力,并结合作者次序信息构成合著者之间的偏序信息,提出了融入合著者偏序信息的主题模型,即APO-ACT模型,使作者-会议-主题(ACT)模型能更好地挖掘核心专家,更适用于推荐系统;2)通过问题知识模型挖掘问题与解决方案间的潜在知识关联。融合企业创新方法案例库,针对待解决的企业工程问题文本描述,提出并实现了一种将理论、技术及实践相结合的专家推荐算法。通过实验证明,基于APO-ACT主题模型的推荐方法在保证推荐准确率的同时能够更好地挖掘核心专家,优于基于内容的推荐和基于ACT主题模型的推荐。

关键词: ACT模型, 合著网络, 学术推荐, 主题提取

Abstract: Enterprises often encounter various engineering problems in the production line,which need the help of experts to be effectively solved.The current academic recommendation system could not deeply explore the underlying knowledge connection between the problem and the solution,or could not recommend suitable experts for engineering problems.The systematic research on how to recommend experts for the enterprise engineering problems to be solved is as follows.1)The influence of experts is calculated based on the expert co-author network,and the partial order information between co-authors is formed by combining the author order information.A topic model integrating co-author partial order information is proposed:APO-ACT model,which makes the author-conference-topic (ACT) model mine core experts better and more suitable for recommendation systems.2)Problem knowledge model can mine the underlying knowledge connection between the problem and the solution.Based on the database of enterprise innovation methods problems,an expert recommendation algorithm for the text description of enterprise engineering problems to be solved combining theory,technology and experience is proposed.Experiments show that the APO-ACT-based recommendation method can better mine core experts while ensuring the recommendation accuracy,which is superior to content-based recommendation and ACT model-based recommendation.

Key words: Academic recommendation, ACT model, Co-author network, Topic extraction

中图分类号: 

  • TP391.1
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