YouTube Video Promotion by Cross-Network Association: @Britney to Advertise Gangnam Style
文献类型：期刊论文
| 作者 | Yan, Ming1 ; Sang, Jitao1; Xu, Changsheng1; Hossain, M. Shamim2
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 出版日期 | 2015-08-01 |
| 卷号 | 17期号:8页码:1248-1261 |
| 关键词 | Cross-network analysis social media video promotion |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000358233000011 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8882]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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