… Entity recommendation based on normalized similarity measure of meta graph in heterogeneous
information network[J].Journal of Shandong University(Engineering Science), 2020, 50(…

… latest achievements of recommendation systems based on the … ”, “recommendation system”,
“RS”, and “recommended system” … the classification of recommendation algorithms based on …

… data sparseness and cold start issues of book recommendation. [Context] We examined the
… [Conclusions] The book recommendation method based on knowledge graph and reader …

… (sequential recommendation for cold-start users with meta graph transitional learning,
MetaGTL).MetaGTL在不使用其他辅助信息的前提下,采用图神经网络(graph neural network, GNN)建…

[目的] 对基于文献的知识发现(Literature-Based Discovery, LBD) 近十年的文献进行综述, 了解
该主题的最新研究进展, 发展趋势与面临的挑战.[文献范围] 在Web of Science, CNKI 和百度学术…

… ,如元图融合推荐 模型(Meta-Graph based recommendation Fusion, FMG)[14],个性化实体
推荐模型(Personalized Entity Recommendation, PER)[19]等,直观地捕获 知识图谱的网络结构. …

… Meta-graph based recommendation fusion over heterogeneous information networks [C]//Proceedings
of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and …

… 摘要: 由于异构信息网络HIN (heterogeneous information network)具有丰富的语义信息而在
推荐任务中得到广 泛应用. 传统的面向异构信息网络的推荐方法忽略了网络中关联关系的异质性, …

… (Heterogeneous Information Network, HIN)的推荐模型无法学习元路径的显式 表示以及未考虑
元路径与用户-项目对之间的相互 作用这两个问题,文献[13]结合元路径的上下文, 设计了一种3向…

… Meta-graph based recommendation fusion over heterogeneous information networks[C]//…
Genetic meta-structure search for recommendation on heterogeneous information network[C…