Learn to Personalized Image Search From the Photo Sharing Websites
文献类型：期刊论文
| 作者 | Sang, Jitao1,2 ; Xu, Changsheng1,2; Lu, Dongyuan3
|
| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2012-08-01 |
| 卷号 | 14期号:4页码:963-974 |
| 关键词 | Personalized image search social annotation tensor factorization topic model |
| 英文摘要 | 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. |
| 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 |
| 关键词[WOS] | TAG RECOMMENDATIONS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000306599300003 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2851]  |
| 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.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 |
| 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. |
入库方式： OAI收割
来源：自动化研究所
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