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基于团队科研—知识应用情境匹配的数字图书馆知识推荐方法研究
引用本文:张亮,任亚茹,李梦茹,张磊.基于团队科研—知识应用情境匹配的数字图书馆知识推荐方法研究[J].情报杂志,2021(2):195-200.
作者姓名:张亮  任亚茹  李梦茹  张磊
作者单位:青岛大学商学院
基金项目:山东省自然科学基金项目“面向社会化商务的个性化推荐研究:基于社会计算的视角”(编号:ZR2018MG005);山东省社会科学规划研究项目“基于科学计量大数据的山东人文社科学术专著评价研究”(编号:20CTQJ03)。
摘    要:目的/意义]数字图书馆的知识服务需要考虑用户科研情境的因素,现有研究大多集中于科研人员个体,忽略了科研团队的情境。针对团队科研活动的情境进行知识推荐,可以更好地服务以团队合作方式开展的科研活动。方法/过程]提出了一种基于团队科研—知识应用情境匹配的数字图书馆知识推荐方法。运用情境感知技术构建数字图书馆知识应用情境和团队科研情境模型,将二者匹配,为活跃用户筛选出备选知识和邻居用户,完成知识排序和推荐。结果/结论]通过数字图书馆知识推荐实例证实,提出的推荐方法能够精准挖掘出团队科研情境下科研人员的知识需求。

关 键 词:团队科研  科研情境  数字图书馆  知识推荐

Research on Digital Library Knowledge Recommendation Method Based on Context Matching of Team Research and Knowledge Application
Zhang Liang,Ren Yaru,Li Mengru,Zhang Lei.Research on Digital Library Knowledge Recommendation Method Based on Context Matching of Team Research and Knowledge Application[J].Journal of Information,2021(2):195-200.
Authors:Zhang Liang  Ren Yaru  Li Mengru  Zhang Lei
Institution:(Business School,Qingdao University,Qingdao 266100)
Abstract:Purpose/Significance]The knowledge service of digital library needs to consider the factors of user's scientific research context.Most of the existing studies focus on the individual researchers and ignore the context of team research.In this paper,a knowledge recommendation method of digital library based on team research and knowledge application context matching is proposed.Knowledge recommendation based on the situation of team research activities can better serve the scientific research activities carried out by team cooperation.Method/Process]Context-aware technologies are used to build context models of knowledge application of digital library and team research.Then the two context models are matched to select candidate knowledge and neighbor users for the active user.Result/Conclusion]Through the example of knowledge recommendation in digital library,it is proved that the proposed recommendation method can accurately mine the knowledge needs of researchers in the context of team research.
Keywords:team research  research context  digital library  knowledge recommendation
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