YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style

	YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style
	Yan, Ming1 ; Sang, Jitao1 ; Xu, Changsheng1 ; Hossain, M. Shamim 2
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
	2015-08-01
卷号	17 期号:8 页码:1248-1261
文章类型	Article
摘要	The emergence and rapid proliferation of various social media networks have reshaped the way how video contents are generated, distributed, and consumed in traditional video sharing portals. Nowadays, online videos can be accessed from far beyond the internal mechanisms of the video sharing portals, such as internal search and front page highlight. Recent studies have found that external referrers, such as external search engines and other social media websites, arise to be the new and important portals to lead users to online videos. In this paper, we introduce a novel cross-network collaborative application to help drive the online traffic for given videos in the traditional video portal YouTube by leveraging the high propagation efficiency of the popular Twitter followees. Since YouTube videos and Twitter followees distribute on heterogeneous spaces, we present a cross-network association-based solution framework. In this framework, we first represent YouTube videos and Twitter followees in the corresponding topic spaces separately by employing generative topic models. Then, the cross-network topic spaces are associated from both semantic-based and network-based perspectives through the collective intelligence of the observed overlapped users. Based on the derived cross-network association, we finally match the query YouTube videos and candidate Twitter followees in the same topic space with a unified ranking method. The experiments on a real-world large-scale dataset of more than 2.2 million YouTube videos and 31.8 million tweets from 38,540 YouTube users and 39,400 Twitter users demonstrate the effectiveness and superiority of our solution in which network-based and semantic-based association are integrated.
关键词	Cross-network Analysis Social Media Video Promotion
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
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:000358233000011
引用统计	被引频次：11[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/173211/8882
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 2.King Saud Univ, Coll Comp & Informat Sci, SWE Dept, Riyadh 11543, Saudi Arabia
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Yan, Ming,Sang, Jitao,Xu, Changsheng,et al. YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(8):1248-1261.
APA	Yan, Ming,Sang, Jitao,Xu, Changsheng,&Hossain, M. Shamim.(2015).YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style.IEEE TRANSACTIONS ON MULTIMEDIA,17(8),1248-1261.
MLA	Yan, Ming,et al."YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style".IEEE TRANSACTIONS ON MULTIMEDIA 17.8(2015):1248-1261.

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