计算机集成制造系统 ›› 2021, Vol. 27 ›› Issue (1): 214-227.DOI: 10.13196/j.cims.2021.01.020

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面向工程领域的主题多样性知识推荐方法

王临科1,蒋祖华1+,李心雨2   

  1. 1.上海交通大学机械与动力工程学院
    2.新加坡南洋理工大学机械与宇航工程学院
  • 出版日期:2021-01-31 发布日期:2021-01-31
  • 基金资助:
    国家自然科学基金资助项目(71671113)。

Topic diversity knowledge recommendation method in engineering field

  • Online:2021-01-31 Published:2021-01-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China (No.71671113).

摘要: 针对现有推荐方法无法同时满足知识推荐准确度和多样性的问题,提出一种主题多样性知识推荐方法(TDKR)。基于对企业知识管理现状的分析,提出同时考虑内容、情境、任务3种相似度的知识相关性网络构建方法,进而划分知识主题社区。基于知识主题社区,构建用户兴趣模型,挖掘用户多样性的知识需求,并结合用户群行为数据,提出用户—主题专业度概念及其计算方法。利用用户—主题专业度信息改进基于用户的协同过滤方法,并结合情境信息和用户兴趣模型提出后过滤多样性策略,以同时保证知识推荐结果的情境可用性和主题多样性。通过对某船厂知识管理系统数据进行实例分析,结果表明TDKR方法能够有效平衡推荐准确度和多样性,为用户提供更有效的知识推荐服务。

关键词: 知识推荐, 主题多样性, 知识管理, 知识情境, 工程语义

Abstract: To meet the engineers' needs for the accuracy and diversity of knowledge recommendation simultaneously,a Topic-Diversity Knowledge Recommendation (TDKR) method  was proposed to solve engineering problems.In TDKR,a knowledge item network containing information including engineering semantics,knowledge contexts and problem-solving-oriented knowledge relevance was built for knowledge topic discovery.Based on the divided knowledge topic communities,the concept of user-topic professionalism was proposed to improve user-based collaborative filtering method,and the user interest model was built to mine the engineers' diverse knowledge needs.Combining knowledge context information and user interest model,a post-filtering diversity recommendation strategy was proposed to ensure the context-based effectiveness and topic diversity of knowledge in the recommendation list.An engineering case study was undertaken to illustrate the practicability and effectiveness of TDKR.As evidenced in the evaluation,TDKR could ensure the effectiveness of knowledge in a specific context while improving the diversity of knowledge recommendation.

Key words: knowledge recommendation, topic diversity, knowledge management, knowledge context, engineering semantic

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