Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV
Wang, Bo1,2; Wang, Jinqiao3,4; Lu, Hanqing4
发表期刊ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
2013-08-01
卷号9期号:4页码:1-23
文章类型Article
摘要There have been not many interactions between the two dominant forms of mass communication: television and the Internet, while nowadays the appearance of Internet television makes them more closely. Different with traditional TV in a passive mode of transmission, Internet TV makes it more possible to make personalized service recommendation because of the interactivity between users and the Internet. In this article, we introduce a scheme to provide targeted ad recommendation to Internet TV users by exploiting the content relevance and social relevance. First, we annotate TV videos in terms of visual content analysis and textual analysis by aligning visual and textual information. Second, with user-user, video-video and user-video relationships, we employ Multi-Relationship based Probabilistic Matrix Factorization (MRPMF) to learn representative tags for modeling user preference. And then semantic content relevance (between product/ad and TV video) and social relevance (between product/ad and user interest) are calculated by projecting the corresponding tags into our advertising concept space. Finally, with relevancy scores we make ranking for relevant product/ads to effectively provide users personalized recommendation. The experimental results demonstrate attractiveness and effectiveness of our proposed approach.
关键词Performance Measurement Experimentation Personalized Recommendation Video Alignment Video Advertising Internet Tv
WOS标题词Science & Technology ; Technology
关键词[WOS]SPORTS VIDEO ; DIGITAL TV ; SYSTEM
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号WOS:000323501800004
引用统计
被引频次:2[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/173211/3333
专题紫东太初大模型研究中心_图像与视频分析
通讯作者Wang, Jinqiao
作者单位1.Commun Univ China, Ctr High Performance Comp, Beijing 100024, Peoples R China
2.Chinese Acad Sci, Beijing 100190, Peoples R China
3.Commun Univ China, Beijing 100024, Peoples R China
4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
通讯作者单位中国科学院自动化研究所
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Wang, Bo,Wang, Jinqiao,Lu, Hanqing. Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2013,9(4):1-23.
APA Wang, Bo,Wang, Jinqiao,&Lu, Hanqing.(2013).Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,9(4),1-23.
MLA Wang, Bo,et al."Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 9.4(2013):1-23.
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