数字图书馆论坛2026，Vol.22Issue(4)：78-88,11.DOI:10.3772/j.issn.1673-2286.2026.04.008
融入技术匹配的高校可转化专利识别研究
Research on Identifying University Transferable Patents Integrated with Technology Matching
摘要
Abstract
Research on the identifying of transferable university patents is an important topic for enhancing the industrialisation level of scientific and technological achievements in universities.However,faced with large volumes of highly heterogeneous and technically dense patent data,there remains a lack of mature and operable evaluation tools and screening mechanisms to effectively identify patents with transfer potential,and related work is still in the exploratory methodological stage.Current research predominantly employs machine learning to mine the intrinsic characteristics of university patents,focusing on assessing their inherent value while neglecting the technological supply-demand compatibility between university patents and potential corporate assignees.To address this gap,this study proposes a technology-matching-based approach for identifying transferable university patents.First,this study constructs identifying features integrated with technology matching.Then,designs a negative sampling method for difficult university patent transformation in sparse patent transformation scenarios.Next,constructs a weighted ensemble identifying model for university transferable patents that leverages the advantages of multiple algorithms.Finally,analyzes the driving factors of university transferable patents based on game-theoretic attribution.Experiments on transferable patent identifying in the membrane field demonstrate that the proposed method is both feasible and effective.关键词
可转化专利/高校/企业/技术匹配/技术互补/技术相似Key words
Transferable Patent/Universities/Enterprises/Technology Matching/Technology Complementarity/Technology Similarity分类
社会科学引用本文复制引用
俞琰,董优优,刘攀,杨舸..融入技术匹配的高校可转化专利识别研究[J].数字图书馆论坛,2026,22(4):78-88,11.基金项目
本研究得到国家社会科学基金一般项目"数据驱动的高校技术转移供需信息挖掘模式构建研究"(编号:23BTQ098)资助. （编号:23BTQ098）
