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Computer Engineering ›› 2010, Vol. 36 ›› Issue (5): 52-53,5. doi: 10.3969/j.issn.1000-3428.2010.05.019

• Software Technology and Database • Previous Articles     Next Articles

Blog Ranking Algorithm Based on Social Relationship Among Bloggers

HAN Li1,2, CEN Song-xiang1, MA Jian2, MA Yan1   

  1. (1. Network Technology Research Institute, Beijing University of Posts and Telecommunications, Beijing 100876; 2. Nokia Research Center Beijing, Beijing 100176)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-03-05 Published:2010-03-05

基于博主之间社会关系的博客排序算法

韩 丽1,2,岑松祥1,马 建2,马 严1   

  1. (1. 北京邮电大学网络技术研究院,北京100876;2. 诺基亚北京研究中心,北京 100176)

Abstract: According to the features of Blog Webpage, a novel ranking algorithm called E-BlogRank is presented. The E-BlogRank value of each Blog is computed based on social relationship for reading comment among Bloggers. The Blog groups are changed with time. The active Blogs presently are encouraged by using decay factors. The Blogs that were welcomed but not update or the update frequency is low now are punished, which strengthens the timeliness of ranking results.

Key words: ranking, decay factor, comment, reading

摘要: 根据博客型网页的特点,提出一种新的排序算法(E-BlogRank),基于博主之间阅读评论的社会关系为每个博客计算E-BlogRank值,考虑到博客群体随时间的变化性,采用衰减因子实现对目前积极活跃博客的鼓励,并对曾经一度很受欢迎而最近不再进行更新活动或者更新频率下降的博客进行惩罚,从而增强排序结果的时效性。

关键词: 排序, 衰减因子, 评论, 阅读

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