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HetNERec: Heterogeneous network embedding based recommendation

文献类型：期刊论文

作者Zhao, Zhongying1; Zhang, Xuejian1; Zhou, Hui1; Li, Chao1; Gong, Maoguo1,2; Wang, Yongqing3
刊名KNOWLEDGE-BASED SYSTEMS
出版日期2020-09-27
卷号204页码:10
关键词Heterogeneous network Network embedding Recommender system Heterogeneous network embedding
ISSN号0950-7051
DOI10.1016/j.knosys.2020.106218
英文摘要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.
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
语种英语
WOS记录号WOS:000556554200027
出版者ELSEVIER
源URL[http://119.78.100.204/handle/2XEOYT63/15844]  
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.

入库方式： OAI收割

来源：计算技术研究所

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