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一种基于多特征融合的博客文章排序算法 被引量：2

Sorting Algorithm for Blog Articles Based on Fusion of Multi Features
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摘要 随着博客数据的迅速增长,在网络媒体中进行信息检索时的效率问题日益受到人们的关注。该文在针对博客搜索中特有的用户需求以及博客系统自身特点进行分析的基础上,提出一种基于博客文章相关性、时效性、查询类型和博客作者兴趣特征一致性等多特征融合的博客文章排序算法。实验结果证明了该算法性能优于传统算法。 With the rapid development of Blog data, the efficiency of information retrieval in them is of great concern. Based on the analysis of the peculiar users＇ needs and the special feature of Blog system, this paper proposes a new sorting algorithm on the basis of the integration of multi features like relativity, timeliness, query type, Blog writer＇s interest characteristics and so on. Experimental result proves that the performance of the new algorithm is more efficient than the traditional ones.
作者 卢刚
机构地区 浙江财经学院信息学院
出处 《计算机工程》 CAS CSCD 北大核心 2009年第2期47-49,52,共4页 Computer Engineering
基金 浙江省科技厅科技专项和优先主题基金资助重大项目(2007C13050)
关键词 博客 信息检索 排序 多特征融合 兴趣特征 Blog information retrieval sorting fusion of multi features interest characteristics
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献6

  • 1Fujimura K, Toda H, Inoue T, et al. Blogranger A Multi-faceted Blog Search Engine[C]//Proceedings of the WWW 2006 Workshop the Weblogging Ecosystem: Aggregation, Analysis and Dynamics. NY, USA: [s. n.], 2006.
  • 2Fujimura K, lnoue T, Sugizaki M. The EigenRumor Algorithm for Ranking Blogs[C]//Proceedings of the WWW 2005 Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics. NY, USA: [s. n.], 2005.
  • 3Beeferman D, Berger A. Agglomerative Clustering of a Search Engine Query Log[C]//Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining [S. l.]: ACM Press, 2000: 407-416.
  • 4Shen D, Pan R, Sun J T, et al. Q2C@UST: Our Winning Solution to Query Classification in KDDCUP[C]//Proceedings of ACM SIGKDD Explorations Newsletter. [S. l.]: ACM Press, 2005: 100-110.
  • 5Eirinaki M, Vazirgiannis M. Web Mining for Web Personalizalion[J]. ACM Transaction on Internet Technology, 2003, 3( 1 ): 1-27.
  • 6Mishne G, De Rijke M. A Study of Blog Search[C]//Proceediugs of ECIR'06. [S. l.]: ACM Press, 2006: 289-301.

同被引文献16

  • 1Adar E. Implicit Structure and the Dynamics of Blogspace[C]//Proc. of the Workshop on the Weblogging Ecosytem. New York, USA: [s. n.], 2004.
  • 2Fujimura K. The Eigenrumor Algorithm for Ranking Blogs[C]//Proe. of the Workshop on the Weblogging Ecosystem. [S. l.]: IEEE Press, 2005.
  • 3Kritikopoulos A. BlogRank: Ranking Weblogs Based on Connectivity and Similarity Features[C]//Proc. of the 2rid International Workshop on Advanced Architectures and Algorithms for Intemet Delivery and Application. [S. 1.]: IEEE Press, 2006.
  • 4Tayebi M A. B2Rank: An Algorithm for Ranking Blogs Based on Behavioral Features[C]//Proc. of IEEE/WIC/ACM International Conference on Web Intelligence. Berlin, Germany: [s. n.], 2007.
  • 5Nakajima S. Discovering Important Bloggers Based on Analyzing Weblog Threads[C]//Proc. of the 2rid Annual Workshop on the Weblogging Ecosystem: Aggregation, Analysis and Dynamics. [S. l.]: IEEE Press, 2005.
  • 6Rubin V. Assessing Credibility of Weblogs[C]//Proc. of the AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs. Berlin, Germany: [s. n.], 2006.
  • 7Weerkamp W. Credibility Improves Topical Blog Post Retrieval[C]//Proc. of ACL-08: HLT. [S. l.]: Association for Computational Linguistics, 2008.
  • 8杨宇航,赵铁军,郑德权,于浩.基于链接分析的重要Blog信息源发现[J].中文信息学报,2007,21(5):68-72. 被引量：6
  • 9Adar E. Implicit Structure and the Dynamic of Blogspace [ C ]//Proc. of the Workshop on the Weblogging Ecosystem. New York, USA : [ s. n. ] ,2004.
  • 10Wu Y, Tseng B. important WebIog Identification and Hot Story Summa- rization[ C -//Proc. of the AAAI Spring Symposium on Computational Approaches to Analysing Weblogs. AAAI Press,2006.

引证文献2

二级引证文献4

计算机工程
2009年 第2期

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