Enhancing News Organization for Convenient Retrieval and Browsing

	Enhancing News Organization for Convenient Retrieval and Browsing
	Li, Zechao 1; Liu, Jing2 ; Wang, Meng3 ; Xu, Changsheng2 ; Lu, Hanqing2
发表期刊	ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
	2013-12-01
卷号	10 期号:1 页码:1-20
文章类型	Article
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.
关键词	Algorithms Human Factors News Organization Matrix Factorization Geo-location Image Enrichment Geovisnews
WOS标题词	Science & Technology ; Technology
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:000329025400001
引用统计	被引频次：11[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/173211/2825
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.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):1-20.
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),1-20.
MLA	Li, Zechao,et al."Enhancing News Organization for Convenient Retrieval and Browsing".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 10.1(2013):1-20.

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