A Unified Fusion Framework for Time-related Rank in Threaded Discussion Communities

doi:10.1007/978-3-319-13186-3_46

	A Unified Fusion Framework for Time-related Rank in Threaded Discussion Communities
	You Q(游强); Hu WM(胡卫明); Wu O(吴偶); Zuo HQ(左海强); You Q(游强)
	2014-11-24
会议名称	PAKDD 2014 International Workshops
会议录名称	Lecture Notes in Computer Science
卷号	Volume 8643
页码	pp 513-524
会议日期	2014.5.14 - 2014.5.16
会议地点	台湾省台南县
出版者	Springer International Publishing
摘要	We propose a unified fusion framework for time-related rank, applied to find valuable posts or recommend answers in threaded discussion communities. In our model, we simultaneously consider the special structure and semantics of threaded discussion communities. As for the structure, we construct a time-related rank model with respect to reply posts analysis and attain an initial rank result. Concurrently, we reconstruct semantic trees from raw statistical features (e.g. term frequency and document length) to latent semantics and topics. With a more robust similarity computation, we produce several semantic trees. For each tree, we again compute the time-related rank score and get a series of rank results. Finally, we fuse our results in the unified fusion framework incorporating quality measures to make a final decision. Our model can be easily extended when new features or models are added. Experimental results show that our model contributes satisfactory results.
关键词	Fusion Quality Measure Time-related Rank Information Retrieval
DOI	10.1007/978-3-319-13186-3_46
收录类别	EI
引用统计
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11792
专题	模式识别国家重点实验室_视频内容安全
通讯作者	You Q(游强)
作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	You Q,Hu WM,Wu O,et al. A Unified Fusion Framework for Time-related Rank in Threaded Discussion Communities[C]:Springer International Publishing,2014:pp 513-524.

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