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	微博转发者的个性化排序
	匡冲 ; 刘知远 ; 孙茂松 ; KUANG Chong ; LIU Zhi-yuan ; SUN Mao-song
	2016-03-30 ; 2016-03-30
关键词	微博 转发 个性化排序 particle filter anti-jamming deception jamming importance weight value TP393.092
其他题名	Personalized ranking of Micro-blogging forw arders
中文摘要	转发行为是微博平台上信息传播的主要形式。目前已有的工作大多数聚焦在转发行为的分析和预测。针对给定的一条微博时如何找到其转发者这个问题并没有得到很好的解决。结合贝叶斯个性化排序优化标准(BPR-OPT)和分解机(FM),提出了一种通用的方法用于对微博转发者进行预测,并进一步对影响用户成为转发者的特征因素进行了细致分析,然后根据这些特征,在大规模真实数据集上对微博转发者进行了预测。实验证明该方法能够明显提高预测效果,同时也验证了基于pair-wise和特征相关的方法能更有效解决微博转发者预测问题。; The repost action is the main way for information spreading in Micro-blogging platform. Nowadays,many works have been done focusing on the repost behaviors' analysis and prediction. However,the problem about howto find the users who are the most likely to repost a given Micro-blog remains unsolved. In this paper,a general predictor,which combines Bayesian Personalized Ranking optimization criterion with Factorization Machines was presented to predict the reposter of a microblog. Furthermore,factors which affect a user to be a reposter were analyzed in details. With these facts,prediction of the reposters over large-scale real datasets was conducted. The experiment proves that this method can improve the effect of the prediction obviously. Meanwhile,method based on pair-wise and feature-related can solve the prediction problem more efficiently.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/146984]
专题	清华大学
推荐引用方式 GB/T 7714	匡冲,刘知远,孙茂松,等. 微博转发者的个性化排序[J],2016, 2016.
APA	匡冲,刘知远,孙茂松,KUANG Chong,LIU Zhi-yuan,&SUN Mao-song.(2016).微博转发者的个性化排序..
MLA	匡冲,et al."微博转发者的个性化排序".(2016).

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