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作 者:闫晓慧 马博闻 邓三鸿[1,2] 王蔚萍 Yan Xiaohui;Ma Bowen;Deng Sanhong;Wang Weiping(School of Information Management,Nanjing University,Nanjing 210023,China;Jiangsu Key Lab of Data Engineering and Knowledge Service,Nanjing 210023,China;Jiangsu Mayiyun Data Technology Co.,Ltd.,Nanjing 210008,China)
机构地区:[1]南京大学信息管理学院,江苏南京210023 [2]江苏省数据工程与知识服务重点实验室,江苏南京210023 [3]江苏蚂蚁云数据技术有限公司,江苏南京210008
出 处:《现代情报》2023年第3期13-25,共13页Journal of Modern Information
基 金:国家社会科学基金项目“大数据环境下学术成果真实价值与影响的实时预测及长期评价研究”(项目编号:19BTQ062)。
摘 要:[目的/意义]随着科技发展,创新成为企业的立身之本,推进企校合作有助于企业在市场竞争中占有一席之地。[方法/过程]构建了融合专利与论文信息的内容挖掘和引用基础的组合相似度计算的企校合作推荐模型,组合相似度计算包括细分领域分类代码、关键词和引用基础3个维度。并利用我国人工智能领域前50强企业同高校之间的合作推荐做实证分析,且从比较研究和结果分析两个角度进行验证。[结果/结论]企校创新合作机构推荐模型能够取得较好的结果,有助于企业寻找具体研究领域的恰当高校合作机构,在一定程度上能够促进我国企校机构间深度合作,推动企校机构创新共赢。[Purpose/Significance]Innovation has become the foundation of enterprises with the technological development.Promoting the cooperation between enterprises and universities is beneficial for enterprises to occupy a place in the fierce market competition.[Method/Process]This paper constructed a recommendation model for cooperation between enterprises and universities based on the combination similarity calculation of patent and paper content mining and citation basis,and this combination similarity calculation included three dimensions:small field,keywords and citation basis.And then this paper used patents and papers information about Chinese top 50 enterprises in the field of artificial intelligence and universities for result analysis.Additionally,this paper evaluated this model from two perspectives:comparative analysis and results assessment.[Result/Conclusion]The experimental results show that the recommendation model in this paper can achieve good effect,which is helpful for enterprises to find appropriate university collaborators in specific research fields.It can promote the in-depth cooperation of enterprises and universities in China and push the win-win innovation of enterprises and universities to some extent.
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