期刊文献+

基于改进的PageRank的网页信息可信度评估方法 被引量:1

A Credibility Evaluation Method for Web Information Based on Improved PageRank
下载PDF
导出
摘要 提出了一种基于改进的PageRank的网页信息可信度评估方法,该方法既考虑了网页间的交互结构,也考虑了网页信息主题间的语义关系.由于网页信息内容具有不同的发布时间,在进行可信度评估过程中,还引入了时间衰减函数,从而反映时间这一要素的影响.实验结果表明,所提出的可信度评估方法是有效的,可以为用户提供可信度较高的网页. To solve the problem of measuring Web information's credibility, a method for computing Web information's credibility was proposed. This method not only considered the interactive structure between Webs, but also took into account semantic relation between the Web information. As the interaction between Web information possessed different release time, in order to reflect time factor, the time decay function was introduced in computing. Experimental result showed that the proposed method was feasible and effective, and could provide Web information with higher credibility for users.
作者 马伟瑜 袁方
出处 《郑州大学学报(理学版)》 CAS 北大核心 2011年第2期43-47,共5页 Journal of Zhengzhou University:Natural Science Edition
基金 河北省教育厅科学研究重点资助项目 编号ZH200804
关键词 网页信息可信度 PAGERANK 相关度 时间度 Web information credibility PageRank relevance time-degree
  • 相关文献

参考文献10

  • 1Gulli A,Signorini A. The indexable Web is more than 11.5 billion pages[C]//Proceedings of the 14th International Conference on World Wide Web. Chiba,2005:902-903.
  • 2Silverstein C, H enginger M, Marais J, et al. Analysis of a very large AltaVista query log[J]. SIGIR Forum, 1998,33 (14) :6-12.
  • 3艾静,王仲远,孟小峰.C-Rank:一种Deep Web数据记录可信度评估方法[J].计算机科学与探索,2009,3(6):585-593. 被引量:3
  • 4Abdul-Rahman A, Hailes S. Relying on trust to find reliable information[C]//Proceedings of Symposium on Database, Web and Cooperative Systems(DWA COS' 99). Baden-Baden, 1999.
  • 5Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine[C]//The 7th Int' l WWW Conference. Brisbane, 1998 : 107-117.
  • 6王向阳,马军.一个基于PageRank的科技文献质量评价算法[J].广西师范大学学报(自然科学版),2009,27(1):165-168. 被引量:13
  • 7杨小平,丁浩,黄都培.基于向量空间模型的中文信息检索技术研究[J].计算机工程与应用,2003,39(15):109-111. 被引量:31
  • 8Kawai Y,Fujita Y,Kumamoto T. Using a sentiment map for visualizing credibility of news sites on the Web[C]//Proceedings of WICOW 2008. California, 2008 .. 53-58.
  • 9张岭,马范援.加速评估算法:一种提高Web结构挖掘质量的新方法[J].计算机研究与发展,2004,41(1):98-103. 被引量:27
  • 10Hassan A,Fader A,Crespin M H,et al. Tracking the dynamic evolution of participant salience in a discussion[C]//Proceedings of the 22nd International Conference on Computational Linguistics. NJ:Association for Computational Linguistics, 2008 ; 313-320.

二级参考文献38

  • 1戚华春,黄德才,郑月锋.具有时间反馈的PageRank改进算法[J].浙江工业大学学报,2005,33(3):272-275. 被引量:27
  • 2田晓明.《计算机学报》2000~2004年引文统计分析[J].情报探索,2005(6):24-25. 被引量:3
  • 3黄德才,戚华春.PageRank算法研究[J].计算机工程,2006,32(4):145-146. 被引量:69
  • 4MA Jun. Retrieving digital artifacts from digital libraries semantically[C]//LNCS. 3644. Berlin :Springer, 2005:340- 349.
  • 5PAGE L,BRIN S.MOTWANI R ,et al. The pagerank citation ranking:Bringing order to the Web[R]. Stanfont ,CA: Stanford University, 1999.
  • 6RICHARDSON M ,DOMINGOS P. The intelligent surfer:probabilistic combination of link and content information in PageRank[J]. Advances in Neural Information Processing Systems ,2002,14:1441-1448.
  • 7TAHER H HAVELIWALA. Topic-sensitive PageRank[C]//Proceedings of the l lth International Conference on World Wide WEB. Honolulu ,Hawaii : ACM Press, 2002.
  • 8NIE L,DAVISON B D,QI Xiao-guang. Topical link analysis for Web search[C]//Proeeeding of the 29th Annual International ACM SIGIR Conferenc. New York :ACM Press, 2002 : 517-526.
  • 9He B, Patel M, Zhang Z, et al. Accessing the Deep Web: A survey[J]. Communications of the ACM, 2007,50(5 ) :94-101.
  • 10Alfarez A R, Hailes S. Relying on trust to find reliable information[C]//Proceedings of International Symposium on Database, Web and Cooperative Systems (DWA-COS' 99), 1999.

共引文献70

同被引文献19

  • 1蔡自兴,徐光祐.人工智能及其应用[M].北京:清华大学出版社,2005.
  • 2Iding M, Auernheimer B, Crosby M E. Towards a meta-cognitive approach to credibility determinafon[C]. Procof the 2nd ACM Workshop on Information Credibility on the F,/eb,2008:75-80.
  • 3Klemm E B, Iding M, Speitel T. Do scientists and teachers agree on the credibility of media information sources?[J]. International Journal of Instroctional Media,2001,28(1):83-91.
  • 4Metzger M. Making sense of credibility on the web: models for evaluating online information and recommendations for future research[J]. Journal of the American Society of Information Sci~mce and Teclmology,2007,58( 13):2078-2091.
  • 5Freeman K S, Spyridakis J H. An examination of factors that affect the credibility of online health information[J]. Technical Communication,2004,51 (2):239-263.
  • 6Alexander J E, Tare .M A. Web wisdom: How to evaluate and create information quality on the Web[M]. Hillsdale, NJ: Erlbaum,1999.
  • 7Eysenbach G, Kolder C. How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews[]]. British Medical Journal,2002,324(7337):573-577.
  • 8Fogg B L Persuasive technology: Using computers to change what we think and do[M]. San Francisco: Kaufinann,2003.
  • 9Metzger M J, Flanagin A J, Eyal K, et al. Bringing the concept of credibility into the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment[l]. Communication YearbooL2003(27):293-335.
  • 10Metzger M J, Flanagin A J, Zwarun L. College student Web use, pvrc~tions of information credibility, and vcn'fication bchaviour [J]. Computers and Education,2003,41(3):271-290.

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部