计算机与现代化Issue(1)：50-58,112,10.DOI:10.3969/j.issn.1006-2475.2025.01.009
基于知识图谱和语义信息的学术推荐系统
Academic Recommendation System Based on Knowledge Graph and Semantic Information
摘要
Abstract
In the diverse domains of the Internet,facing the ever-increasing volume of data,there is a growing need for recom-mendation systems to provide users with personalized information.Utilizing knowledge graphs can enhance the accuracy,diver-sity,and interpretability of these systems.Addressing the current methods'limitations in accurately capturing genuine user pref-erences during propagation,and their lack of attention to the utility of semantic information,this paper proposes an advanced pa-per recommendation algorithm based on semantic features and knowledge graphs.This method employs the BERT model to ex-tract semantic features from paper abstracts,and uses knowledge graphs for collaborative propagation to obtain entity representa-tions of users and items.During propagation,user preferences are accurately transmitted through multi-head attention,and an attention aggregation network is differentiated between entity representation sets at each layer,the importance of initial informa-tion is emphasized.Performance evaluations on three public datasets demonstrate that the model proposed in this paper,com-pared to the selected optimal baseline models,achieves an increase of 0.010、0.018 and 0.007 in AUC,and 0.007、0.008 and 0.008 in F1 score,respectively,thereby showing the effectiveness and the superiority of the algorithm proposed in this paper.关键词
推荐系统/知识图谱/注意力网络/语义融合Key words
recommendation system/knowledge graph/attention network/semantic fusion分类
信息技术与安全科学引用本文复制引用
张岳,李华昱,张智康,沈鑫怡..基于知识图谱和语义信息的学术推荐系统[J].计算机与现代化,2025,(1):50-58,112,10.基金项目
山东省自然科学基金面上项目(ZR2020MF140) （ZR2020MF140）
