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pav: a novel model for ranking heterogeneous objects in bibliographic information networks
Deng Zhi-Hong; Lai Bo-Yan; Wang Zhong-Hui; Fang Guo-Dong
2012
发表期刊Expert Systems with Applications
ISSN9574174
卷号39期号:10页码:9788-9796
摘要Bibliographic information networks, formed by online bibliographic databases, such as ACM Digital Library and IEEE/IET Electronic Library, contain abundant information about authors, papers, venues (journals/conferences), and have been widely studies in recent years. However, few studies examine the problem of ranking objects in these networks. In this paper, we study this problem and present a novel model, called PAV, for ranking heterogeneous objects, such as authors, papers, and venues. Based on PAV model, we transform the problem of ranking objects into the problem of estimating probability distribution. We propose an efficient algorithm to estimate probability parameters by use of the fact that the PAV model is a regular Markov chain. For evaluating PAV model, we apply it on one real dataset, which was crawled from ACM Digital Library. The experimental results show that the proposed model is effective. © 2012 Elsevier Ltd. All rights reserved.
收录类别ei
部门归属(1) Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China; (2) State Key Lab of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China
语种英语
WOS记录号WOS:000303281800131
引用统计
内容类型期刊论文
URI标识http://ir.iscas.ac.cn/handle/311060/14722
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Deng Zhi-Hong,Lai Bo-Yan,Wang Zhong-Hui,et al. pav: a novel model for ranking heterogeneous objects in bibliographic information networks[J]. Expert Systems with Applications,2012,39(10):9788-9796.
APA Deng Zhi-Hong,Lai Bo-Yan,Wang Zhong-Hui,&Fang Guo-Dong.(2012).pav: a novel model for ranking heterogeneous objects in bibliographic information networks.Expert Systems with Applications,39(10),9788-9796.
MLA Deng Zhi-Hong,et al."pav: a novel model for ranking heterogeneous objects in bibliographic information networks".Expert Systems with Applications 39.10(2012):9788-9796.
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