Learn to Personalized Image Search From the Photo Sharing Websites

	Learn to Personalized Image Search From the Photo Sharing Websites
	Sang, Jitao1,2 ; Xu, Changsheng1,2 ; Lu, Dongyuan 3
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
	2012-08-01
卷号	14 期号:4 页码:963-974
文章类型	Article
摘要	Increasingly developed social sharing websites like Flickr and Youtube allow users to create, share, annotate, and comment medias. The large-scale user-generated metadata not only facilitate users in sharing and organizing multimedia content, but provide useful information to improve media retrieval and management. Personalized search serves as one of such examples where the web search experience is improved by generating the returned list according to the modified user search intents. In this paper, we exploit the social annotations and propose a novel framework simultaneously considering the user and query relevance to learn to personalized image search. The basic premise is to embed the user preference and query-related search intent into user-specific topic spaces. Since the users' original annotation is too sparse for topic modeling, we need to enrich users' annotation pool before user-specific topic spaces construction. The proposed framework contains two components: 1) a ranking-based multicorrelation tensor factorization model is proposed to perform annotation prediction, which is considered as users' potential annotations for the images; 2) we introduce user-specific topic modeling to map the query relevance and user preference into the same user-specific topic space. For performance evaluation, two resources involved with users' social activities are employed. Experiments on a large-scale Flickr dataset demonstrate the effectiveness of the proposed method.
关键词	Personalized Image Search Social Annotation Tensor Factorization Topic Model
WOS标题词	Science & Technology ; Technology
关键词[WOS]	TAG RECOMMENDATIONS
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:000306599300003
引用统计	被引频次：25[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/173211/2851
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.China Singapore Inst Digital Media, Singapore 119615, Singapore 3.Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
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	Sang, Jitao,Xu, Changsheng,Lu, Dongyuan. Learn to Personalized Image Search From the Photo Sharing Websites[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2012,14(4):963-974.
APA	Sang, Jitao,Xu, Changsheng,&Lu, Dongyuan.(2012).Learn to Personalized Image Search From the Photo Sharing Websites.IEEE TRANSACTIONS ON MULTIMEDIA,14(4),963-974.
MLA	Sang, Jitao,et al."Learn to Personalized Image Search From the Photo Sharing Websites".IEEE TRANSACTIONS ON MULTIMEDIA 14.4(2012):963-974.

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