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	Community-based cyberreading for information understanding
	Jiang, Zhuoren ; Liu, Xiaozhong ; Gao, Liangcai ; Tang, Zhi
	2016
英文摘要	Although the content in scientific publications is increasingly challenging, it is necessary to investigate another important problem, that of scientific information understanding. For this proposed problem, we investigate novel methods to assist scholars (readers) to better understand scientific publications by enabling physical and virtual collaboration. For physical collaboration, an algorithm will group readers together based on their profiles and reading behavior, and will enable the cyberreading collaboration within a online reading group. For virtual collaboration, instead of pushing readers to communicate with others, we cluster readers based on their estimated information needs. For each cluster, a learning to rank model will be generated to recommend readers' communitized resources (i.e., videos, slides, and wikis) to help them understand the target publication. ? 2016 ACM.; EI; 789-792
语种	英语
出处	39th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2016
DOI标识	10.1145/2911451.2914744
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/449421]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Jiang, Zhuoren,Liu, Xiaozhong,Gao, Liangcai,et al. Community-based cyberreading for information understanding. 2016-01-01.

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