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
Conference Name	PAKDD 2014 International Workshops
Source Publication	Lecture Notes in Computer Science
Volume	Volume 8643
Pages	pp 513-524
Conference Date	2014.5.14 - 2014.5.16
Conference Place	台湾省台南县
Publisher	Springer International Publishing
Abstract	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.
Keyword	Fusion Quality Measure Time-related Rank Information Retrieval
DOI	10.1007/978-3-319-13186-3_46
Indexed By	EI
Citation statistics
Document Type	会议论文
Identifier	http://ir.ia.ac.cn/handle/173211/11792
Collection	模式识别国家重点实验室_视频内容安全
Corresponding Author	You Q(游强)
Affiliation	中国科学院自动化研究所
First Author Affilication	Institute of Automation, Chinese Academy of Sciences
Recommended Citation 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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