登录 | 注册 | 充值 | 退出 | 公司首页 | 繁体中文 | 满意度调查
综合馆
基于隐朴素贝叶斯模型的社会关系推荐
  • 摘要

    基于共邻用户属性的社会关系推荐算法是社会网络分析关系预测领域的热点研究方向。提出了一种基于隐朴素贝叶斯(hidden nave Bayesian,HNB)模型的用户关系推荐算法。该算法通过分析属性之间的依赖性对问题建模,从中度量共邻用户之间关系对推荐用户对之间的贡献和影响,然后对所有候选推荐关系计算其相似度并进行排序,并把模型推广到CN、AA和RA三种关系推荐算法中。在真实网络数据集上的实验结果表明,所提出的算法比目前的基准方法和朴素贝叶斯方法具有更高的AUC值。此外,算法能够发现具备不同拓扑结构属性的

  • 作者

    WU Jie-hua  ZHU An-qing  CAI Xue-lian  ZHANG Xiao-lan 

  • 作者单位

    Dept. of Computer Science & Engineering,Guangdong College of Industry & Commerce,Guangzhou 510510,China;College of Information Science & Technology,South China University of Technology,Guangzhou 510641,China/Dept. of Computer Science & Engineering,Guangdong College of Industry & Commerce,Guangzhou 510510,China;College of Information Science & Technology,Jinan University,Guangzhou 510632,China/Dept. of Computer Science & Engineering,Guangdong College of Industry & Commerce,Guangzhou 510510,China

  • 刊期

    2014年5期 ISTIC PKU

  • 关键词

    社会网络  关系推荐  链接预测  关系预测  隐朴素贝叶斯  social network  relation recommendation  link prediction  relation prediction  hidden nave Bayesian 

参考文献
  • [1] YANG Yu-Bin,李宁,ZHANG Yao. 基于社会网络可视化分析的数据挖掘. 软件学报, 2008,8
  • [2] 孟祥武,胡勋,王立才,张玉洁. 移动推荐系统及其应用. 软件学报, 2013,1
  • [3] BACKSTROM L;LESKOVEC J. Supervised random walks:predicting and recommending links in social networks. {H}New York:ACM Press, 2011
  • [4] LV Lin-yuan;ZHOU Tao. Link prediction in complex networks:a survey. Physica A:Statistical Mechanics and its Applications, 2011,06
  • [5] DONG Yu-xiao;TANG Jie;WU Sen. Link prediction and recommendation across heterogeneous social networks. [S.l.]:IEEE Press, 2012
  • [6] TANG Jie;LOU Tian-cheng;KLEINBERG J. Inferring social ties across heterogenous networks. {H}New York:ACM Press, 2012
  • [7] LESJIVEC J;HUTTENLOCHER D;KLEINBERG J. Predicting positive and negative links in online social networks. {H}New York:ACM Press, 2010
  • [8] ZHANG H;JIANG Liang-xiao;SU Jiang. A novel Bayes model:hidden nave Bayes. {H}IEEE Transactions on Knowledge and Data Engineering, 2009,10
  • [9] Complex networks package for MatLab. http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html
  • [10] NIGBOR R L. Six-degree-of-freedom ground-motion measurement. {H}Bulletin of the Seismological Society of America, 1994,05
  • [11] ZHAO Li-li;PAN S J;XIANG E W. Active transfer learning for cross-system recommendation. 2013
  • [12] ZHUANG Hong-lei;TANG Jie;TANG Wen-bin. Actively learning to infer social ties. {H}DATA MINING AND KNOWLEDGE DISCOVERY, 2012,02
  • [13] LIU J;DOLAN P;PEDERSEN E R. Personalized news recommendation based on click behavior. {H}New York:ACM Press, 2010
  • [14] WANG Xu-fei;TANG Lei;LIU Huan. Learning with multi-resolution overlapping communities. {H}Knowledge and Information Systems, 2013,02
  • [15] LIBEN-NOWELL D;KLEINBERG J. The link-prediction problem for social networks. {H}JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2007,07
  • [16] LICHTENWALTER R N;LUSSIER J T;CHAWLA N V. New perspectives and methods in link prediction. {H}New York:ACM Press, 2010
  • [17] LIU Zhen;ZHANG Qiao-ming;LV Lin-yuan. Link prediction in complex networks:a local naive Bayes model. {H}Europhysics Letters, 2011,04
查看更多︾
相似文献 查看更多>>
18.208.159.25