情报杂志2023，Vol.42Issue(12)：144-152,9.DOI:10.3969/j.issn.1002-1965.2023.12.021
专利视域下融合协同过滤与链路预测的企业潜在合作关系预测研究
Research on Predicting Potential Firm Collaborations by Integrating Collaborative Filtering and Link Prediction in the Patent Perspective
摘要
Abstract
[Research purpose]This study aims to provide a systematic and detailed logical expression of the"firm-patent"relationship by integrating collaborative filtering and link prediction.It further aims to accurately and effectively identify potential cooperative relation-ships among firms,which can help firms aggregate technological resources and promote industrial innovation processes.[Research meth-od]A cooperative network is constructed based on non-crystalline alloy patent data.The content similarity of patent texts is calculated u-sing pearson correlation coefficient,the category similarity of IPC codes is calculated using the SM algorithm,and the path similarity of link prediction is calculated using SimRank and RA metrics.A fusion weighted index is then constructed based on these three metrics using a weight prediction algorithm.The fusion index is used as input for the collaborative filtering recommendation algorithm to predict potential firm partnerships.[Research conclusion]The study shows that the"link recommendation"algorithm,which combines collaborative fil-tering and link prediction,achieves an average accuracy rate of 93.21%,an improvement of approximately 2.42%compared to traditional collaborative filtering algorithms.In the process of predicting potential cooperative relationships among firms in the field of non-crystalline alloys,the recommended results obtained from the"link recommendation"algorithm can provide decision-making and reference for firm collaborations.关键词
协同过滤/链路预测/专利文本/专利合作网络/潜在合作/关系预测Key words
collaborative filtering/link prediction/patent text/patent cooperation network/potential cooperation/relationship prediction分类
社会科学引用本文复制引用
周志刚,窦路遥,李毅..专利视域下融合协同过滤与链路预测的企业潜在合作关系预测研究[J].情报杂志,2023,42(12):144-152,9.基金项目
中国高等教育学会专项课题"大数据技术与应用产教融合实践与创新"(编号:21CJZD06) （编号:21CJZD06）
山西省哲学社会科学规划课题"山西省中小企业间数据融合安全共享机制研究"(编号:2022YY097)的研究成果. （编号:2022YY097）
