Enhancing News Organization for Convenient Retrieval and Browsing
文献类型:期刊论文
作者 | Li, Zechao1; Liu, Jing2![]() ![]() ![]() ![]() |
刊名 | ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
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出版日期 | 2013-12-01 |
卷号 | 10期号:1 |
关键词 | Algorithms Human Factors News organization matrix factorization geo-location image enrichment GeoVisNews |
英文摘要 | To facilitate users to access news quickly and comprehensively, we design a news search and browsing system named GeoVisNews, in which the news elements of "Where", "Who", "What" and "When" are enhanced via news geo-localization, image enrichment and joint ranking, respectively. For news geo-localization, an Ordinal Correlation Consistent Matrix Factorization (OCCMF) model is proposed to maintain the relevance rankings of locations to a specific news document and simultaneously capture intra-relations among locations and documents. To visualize news, we develop a novel method to enrich news documents with appropriate web images. Specifically, multiple queries are first generated from news documents for image search, and then the appropriate images are selected from the collected web images by an intelligent fusion approach based on multiple features. Obtaining the geo-localized and image enriched news resources, we further employ a joint ranking strategy to provide relevant, timely and popular news items as the answer of user searching queries. Extensive experiments on a large-scale news dataset collected from the web demonstrate the superior performance of the proposed approaches over related methods. |
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 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000329025400001 |
源URL | [http://ir.ia.ac.cn/handle/173211/2825] ![]() |
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.Nanjing Univ Sci & Technol, Sch Comp Sci, Nanjing, Jiangsu, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 3.Hefei Univ Technol, Sch Comp & Informat, Hefei, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Zechao,Liu, Jing,Wang, Meng,et al. Enhancing News Organization for Convenient Retrieval and Browsing[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2013,10(1). |
APA | Li, Zechao,Liu, Jing,Wang, Meng,Xu, Changsheng,&Lu, Hanqing.(2013).Enhancing News Organization for Convenient Retrieval and Browsing.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,10(1). |
MLA | Li, Zechao,et al."Enhancing News Organization for Convenient Retrieval and Browsing".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 10.1(2013). |
入库方式: OAI收割
来源:自动化研究所
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