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	Timeline generation with social attention
	Zhao, Wayne Xin ; Guo, Yanwei ; Yan, Rui ; He, Yulan ; Li, Xiaoming
	2013
英文摘要	Timeline generation is an important research task which can help users to have a quick understanding of the overall evolution of any given topic. It thus attracts much attention from research communities in recent years. Nevertheless, existing work on timeline generation often ignores an important factor, the attention attracted to topics of interest (hereafter termed 'social attention'). Without taking into consideration social attention, the generated timelines may not reflect users' collective interests. In this paper, we study how to incorporate social attention in the generation of timeline summaries. In particular, for a given topic, we capture social attention by learning users' collective interests in the form of word distributions from Twitter, which are subsequently incorporated into a unified framework for timeline summary generation. We construct four evaluation sets over six diverse topics. We demonstrate that our proposed approach is able to generate both informative and interesting timelines. Our work sheds light on the feasibility of incorporating social attention into traditional text mining tasks. Copyright ? 2013 ACM.; EI; 0
语种	英语
DOI标识	10.1145/2484028.2484103
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/411744]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhao, Wayne Xin,Guo, Yanwei,Yan, Rui,et al. Timeline generation with social attention. 2013-01-01.

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