Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks

doi:10.1109/TMM.2020.3007330

	Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks
	Sang, Lei 1,2; Xu, Min 2; Qian, Shengsheng3 ; Martin, Matt 4; Li, Peter 4; Wu, Xindong 1,5
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
	2021
卷号	23 页码:2019-2032
通讯作者	Xu, Min(Min.Xu@uts.edu.au)
摘要	With the emergence of online social networks (OSNs), video recommendation has come to play a crucial role in mitigating the semantic gap between users and videos. Conventional approaches to video recommendation primarily focus on exploiting content features or simple user-video interactions to model the users' preferences. Although these methods have achieved promising results, they fail to model the complex video context interdependency, which is obscure/hidden in heterogeneous auxiliary data from OSNs. In this paper, we study the problem of video recommendation in Heterogeneous Information Networks (HINs) due to its excellence in characterizing heterogeneous and complex context information. We propose a Context-Dependent Propagating Recommendation network (CDPRec) to obtain accurate video embedding and capture global context cues among videos in HINs. The CDPRec can iteratively propagate the contexts of a video along links in a graph-structured HIN and explore multiple types of dependencies among the surrounding video nodes. Then, each video is represented as the composition of the multimodal content feature and global dependency structure information using an attention network. The learned video embedding with sequential based recommendation are jointly optimized for the final rating prediction. Experimental results on real-world YouTube video recommendation scenarios demonstrate the effectiveness of the proposed methods compared with strong baselines.
关键词	Semantics Collaboration YouTube Australia Visualization Context modeling Video recommendation context-dependent propagating Heterogeneous Information Network (HIN) Network embedding
DOI	10.1109/TMM.2020.3007330
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB1000901] ; China Scholarship Council (CSC) ; National Natural Science Foundation of China[91746209] ; Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) of theMinistry of Education of China[IRT17R32]
项目资助者	National Key Research and Development Program of China ; China Scholarship Council (CSC) ; National Natural Science Foundation of China ; Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) of theMinistry of Education of China
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:000668875100014
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：23[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45232
专题	多模态人工智能系统全国重点实验室_多媒体计算
通讯作者	Xu, Min
作者单位	1.Hefei Univ Technol, Key Lab Knowledge Engn Big Data, Minist Educ, Hefei 230009, Peoples R China 2.Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 4.INTERACT Technol, Sydney, NSW 2000, Australia 5.Mininglamp Acad Sci, Mininglamp Technol, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Sang, Lei,Xu, Min,Qian, Shengsheng,et al. Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2021,23:2019-2032.
APA	Sang, Lei,Xu, Min,Qian, Shengsheng,Martin, Matt,Li, Peter,&Wu, Xindong.(2021).Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks.IEEE TRANSACTIONS ON MULTIMEDIA,23,2019-2032.
MLA	Sang, Lei,et al."Context-Dependent Propagating-Based Video Recommendation in Multimodal Heterogeneous Information Networks".IEEE TRANSACTIONS ON MULTIMEDIA 23(2021):2019-2032.