[1]盖素丽,檀改芳,唐 松,等.面向科技服务的专家推荐模型研究[J].计算机技术与发展,2022,32(10):21-25.[doi:10. 3969 / j. issn. 1673-629X. 2022. 10. 004]
　GE Su-li,TAN Gai-fang,TANG Song,et al.Expert Recommendation Model for Technology Services[J].,2022,32(10):21-25.[doi:10. 3969 / j. issn. 1673-629X. 2022. 10. 004]
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面向科技服务的专家推荐模型研究()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年10期
页码:
21-25
栏目:
大数据与云计算
出版日期:
2022-10-10

文章信息/Info

Title:
Expert Recommendation Model for Technology Services
文章编号:
1673-629X(2022)10-0021-05
作者:
盖素丽1; 2 ; 檀改芳1; 2 ; 唐 松1; 2 ; 董 佳1; 2
1. 河北省科学院应用数学研究所,河北 石家庄 050081;
2. 河北省信息安全认证工程技术研究中心,河北 石家庄 050081
Author(s):
GE Su-li1; 2 ; TAN Gai-fang1; 2 ; TANG Song1; 2 ; DONG Jia1; 2
1. Institute of Applied Mathematics,Hebei Academy of Sciences,Shijiazhuang 050081,China;
2. Hebei Authentication Technology Engineering Research Center,Shijiazhuang 050081,Chin
关键词:
专家推荐; 知识网络; 隐性知识; 关系抽取; 科技服务
Keywords:
expert recommendation; semantic web; tacit knowledge; relation extraction; technology services
分类号:
TP391. 1
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 10. 004
摘要:
社会公众在日常生活中经常会遇到各种难题,需要专家提供专业性的咨询服务, 由此催生出了专家推荐系统,使得专家及其专业知识得以广泛而深入地介入公众生产生活当中。 但是,随着社会数字化发展,科技资源更加繁杂,给专家推荐工作带来一定的挑战。 当前专家推荐系统并没有深入挖掘用户需求与专家研究兴趣之间潜在的知识关联,无法针对具体需求推荐出合适的服务专家。 知识利用不当成为知识匮乏之后大数据环境下专家推荐的又一障碍。 就如何为用户决策咨询需求推荐合适的服务专家进行系统研究,最终提出了一种科技咨询服务的新模式。 通过构建需求、专家和案例的知识网络,挖掘需求与专家间潜在的知识关联,提出了一种面向科技领域用户决策咨询需求服务的专家推荐模型。
Abstract:
Due to the strong demand for professional knowledge, public decision - making needs more and more experts to provide professional services. Thence experts and their expertise could be involved in the decision-making process widely and deeply. However,the current recommendation system could not deeply explore the tacit knowledge associations between the needs of users and the interests of experts,and could hardly recommend suitable experts for a specific need. The lack of the solution to access the proper knowledge instead? of the lack of knowledge became another obstacle to expert recommendation, which could be solved by knowledge recommendation. Historical servicing cases were combined to conduct a systematic study on how to recommend proper experts to meet the needs of the public for decision-making consultation. Finally,a new recommendation method was proposed. The method proposed a solution based on the concept of “ relationship”,which was the knowledge web targeting the tacit knowledge connection. Based on the knowledge web,an expert recommendation model was proposed to meet the needs of technology services.

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更新日期/Last Update: 2022-10-10