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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)
Conference NamePAKDD 2014 International Workshops
Source PublicationLecture Notes in Computer Science
VolumeVolume 8643
Pagespp 513-524
Conference Date2014.5.14 - 2014.5.16
Conference Place台湾省台南县
PublisherSpringer International Publishing
AbstractWe 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.
KeywordFusion Quality Measure Time-related Rank Information Retrieval
Indexed ByEI
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Document Type会议论文
Corresponding AuthorYou Q(游强)
First Author AffilicationInstitute 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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