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	Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks
	Zhang, Ming ; Feng, Sheng ; Tang, Jian ; Ojokoh, Bolanle ; Liu, Guojun
	2011
英文摘要	In this paper, we present a novel approach that models the mutual reinforcing relationship among papers, authors and publication venues with due cognizance of publication time. We further integrate bookmark information which models the relationship between users' expertise and papers' quality into the composite citation network using random walk with restart framework. The experimental results with ACM dataset show that 1) the proposed method outperforms the traditional methods; 2) by incorporating the temporal factor, the ranking result of latest publications can be greatly improved; 3) the integration of user generated content further enhances the ranking result.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000306259000026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Information Systems; Computer Science, Theory & Methods; Information Science & Library Science; CPCI-S(ISTP); CPCI-SSH(ISSHP); 2
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292907]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Ming,Feng, Sheng,Tang, Jian,et al. Co-Ranking Multiple Entities in a Heterogeneous Network: Integrating Temporal Factor and Users' Bookmarks. 2011-01-01.

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