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	IGroup: Presenting Web image search results in semantic clusters
	Wang, Shuo ; Jing, Feng ; He, Jibo ; Du, Qixing ; Zhang, Lei
	2007
英文摘要	Current web image search engines still rely on user typing textual description: query word(s) for visual targets. As the queries are often short, general or even ambiguous, the images in resulting pages vary in content and style. Thus, browsing with these results is likely to be tedious, frustrating and unpredictable. IGroup, a proposed image search engine addresses these problems by presenting the result in semantic clusters. The original result set was clustered in semantic groups with a cluster name relevant to user typed queries. Instead of looking through the result pages or modifying queries, IGroup users can refine findings to the interested sub-result sets with a navigational panel, where each cluster (sub-result set) was listed with a cluster name and representative thumbnails of the cluster. We compared IGroup with a general web image search engine: MSN, in term of efficiency, coverage, and satisfaction with a substantial user study. Our tool shows significant improvement in such criteria. Copyright 2007 ACM.; EI; 0
语种	英语
DOI标识	10.1145/1240624.1240718
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/328502]
专题	心理与认知科学学院
推荐引用方式 GB/T 7714	Wang, Shuo,Jing, Feng,He, Jibo,et al. IGroup: Presenting Web image search results in semantic clusters. 2007-01-01.

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