Integrating resource transmission,collaborative filtering,and link prediction theories to systematically and innovatively express the"enterprise patent"relationship,and then accurately and effectively identify potential cooperative relationships between enterprises,helps enterprises enrich their technological dimensions and promote the process of industrial innovation.Based on competitive intelligence thinking and data from 7 415 technical patents in the field of perovskite solar cells,a dynamic transfer recommendation based on patent resource transmission,a heterogeneous network recommendation based on link prediction method,and a collaborative filtering recommendation based on patent text are constructed.By introducing adjustable parameters,the three are integrated into a recommendation system,enable enterprises to select patent resources and partners that require attention based on real-life scenarios.Research shows that the fusion perspective of hybrid recommendation systems provides a new research method for predicting potential relationships in disruptive technology enterprises.The constructed recommendation system achieves multi-dimensional expression of recommendation results that are"accurate,novel,and comprehensive",providing decision-making and reference for future cooperation between enterprises.
关键词
混合推荐/关系预测/专利文本/钙钛矿太阳能电池/新颖化
Key words
mixed recommendation/relationship prediction/patent text/perovskite solar cells/novelization
万方数据