Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 图像与视频分析团队

	Exploiting Content Relevance and Social Relevance for Personalized Ad Recommendation on Internet TV
	Wang, Bo 1,2; Wang, Jinqiao3,4 ; Lu, Hanqing4
刊名	ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
	2013-08-01
卷号	9 期号:4
关键词	Performance Measurement Experimentation Personalized recommendation video alignment video advertising Internet TV
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
研究领域[WOS]	Computer Science
关键词[WOS]	SPORTS VIDEO ; DIGITAL TV ; SYSTEM
收录类别	SCI
语种	英语
WOS记录号	WOS:000323501800004
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3333]
专题	自动化研究所_模式识别国家重点实验室_图像与视频分析团队
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
推荐引用方式 GB/T 7714	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).
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).
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).