HetNERec: Heterogeneous network embedding based recommendation

doi:10.1016/j.knosys.2020.106218

	HetNERec: Heterogeneous network embedding based recommendation
	Zhao, Zhongying 1; Zhang, Xuejian 1; Zhou, Hui 1; Li, Chao 1; Gong, Maoguo 1,2; Wang, Yongqing 3
	2020-09-27
发表期刊	KNOWLEDGE-BASED SYSTEMS
ISSN	0950-7051
卷号	204 页码:10
摘要	Traditional recommendation techniques are hindered by the simplicity and sparsity of user-item interaction data and can be improved by introducing auxiliary information related to users and/or items. However, most studies have focused on a single typed external relationship and not fully utilized the latent relationships among users and items. In this paper, we propose a heterogeneous network embedding-based recommendation method called HetNERec. Specifically, we first construct the co-occurrence networks by extracting multiple co-occurrence relationships from a recommendation-oriented heterogeneous network. We then propose an integration function to integrate multiple network embedded representations into a single representation to enhance the recommendation performance. Finally, the matrix factorization is extended by integrating the embedded representations and considering the latent relationships among users and items. The experimental results on real-world datasets demonstrate that the proposed HetNERec outperforms several state-of-the-art recommendation methods. (C) 2020 Elsevier B.V. All rights reserved.
关键词	Heterogeneous network Network embedding Recommender system Heterogeneous network embedding
DOI	10.1016/j.knosys.2020.106218
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61303167] ; National Natural Science Foundation of China[61702306] ; National Natural Science Foundation of China[U1811264] ; Taishan Scholar Program of Shandong Province[ts20190936] ; Scientific Research Found of SDUST for Innovative Team[2015TDJH102] ; CAS Key Lab of Network Data Science and Technology[CASNDST202007] ; Open Project Foundation of Intelligent Information Processing Key Laboratory of Shanxi Province[CICIP2020001]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000556554200027
出版者	ELSEVIER
引用统计	被引频次：51[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/15845
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhao, Zhongying; Gong, Maoguo
作者单位	1.Shandong Univ Sci & Technol, Sch Comp Sci & Engn, Qingdao 266590, Peoples R China 2.Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Zhongying,Zhang, Xuejian,Zhou, Hui,et al. HetNERec: Heterogeneous network embedding based recommendation[J]. KNOWLEDGE-BASED SYSTEMS,2020,204:10.
APA	Zhao, Zhongying,Zhang, Xuejian,Zhou, Hui,Li, Chao,Gong, Maoguo,&Wang, Yongqing.(2020).HetNERec: Heterogeneous network embedding based recommendation.KNOWLEDGE-BASED SYSTEMS,204,10.
MLA	Zhao, Zhongying,et al."HetNERec: Heterogeneous network embedding based recommendation".KNOWLEDGE-BASED SYSTEMS 204(2020):10.