计算技术与自动化2026，Vol.45Issue(1)：43-49,7.DOI:10.16339/j.cnki.jsjsyzdh.202601007
融合知识图谱多维度信息的电力科研成果推荐算法
A Recommendation Algorithm for Electric Power Research Results by Fusing Multi-dimensional Information from Knowledge Graphs
摘要
Abstract
With the rapid development of research in the electric power industry,researchers need to filter relevant liter-ature from a huge amount of literature.Existing recommendation systems often ignore the deep semantic links between the literature and the intrinsic differences within the professional field,resulting in insufficient accuracy and personalisation of the recommendation results.To address this problem,this paper proposes a knowledge graph-based recommendation algo-rithm for electric power research results.Firstly,this paper constructs a recommendation algorithm dataset for the field of electric power research,specifically to construct a knowledge graph of electric power research results,in which the electric power keywords are used as the recommendation subject,the title of the literature as the recommendation object,and the re-search content and method information is extracted from the title in order to enrich the structure of the knowledge graph,and the query electric power research keywords are used to recommend the required electric power research literature.Secondly,based on the knowledge graph-based intent network(KGIN)model,this paper aggregates the information of the neighbour nodes of the electric power keywords and the recommended literature,and puts forward an improved KGIN model,which can better express the relationship between the keywords and the recommended literature,and integrates the intent-aware in-formation,the relationship-aware information,the semantic information,and the higher-order structural information,and achieves a richer embedding representation of the keywords and the recommended literature,and obtains a better representa-tion of the keywords and the recommended literature.rich embedding representation,and obtains better recommendation effect.The final experimental results show that compared with the baseline models of some recommendation systems de-scribed in this paper,the model in this paper obviously improves the effect of recommending scientific research results on e-lectric power.关键词
知识图谱/推荐系统/图卷积神经网络/电力科研成果Key words
knowledge graph/recommender system/graph convolutional neural network/electric power research results分类
信息技术与安全科学引用本文复制引用
徐晓轶,毛艳芳,吕晓祥..融合知识图谱多维度信息的电力科研成果推荐算法[J].计算技术与自动化,2026,45(1):43-49,7.基金项目
国网江苏省电力有限公司科技项目(J2023051) （J2023051）
