DocumentCode :
1928369
Title :
A Content-Based Algorithm for Blog Ranking
Author :
Shen, Jie ; Zhu, Yan ; Zhang, Hui ; Chen, Chen ; Sun, Rongshuang ; Xu, Fayan
Author_Institution :
Yangzhou Univ., Yangzhou
fYear :
2008
fDate :
28-29 Jan. 2008
Firstpage :
19
Lastpage :
22
Abstract :
Due to the different structure and content character of blogs, the traditional ranking algorithm of Web page turns to be insufficient. To solve this problem, a novel ranking algorithm of blog is presented. The algorithm considers both the link analysis and the content analysis of the blog, It helps mining more implicit features of blog, such as common topics, to improve the satisfaction of the users. The experimental results show that the proposed method can improve retrieval performance obviously.
Keywords :
Web sites; information analysis; Web page; blog ranking; content analysis; content-based algorithm; link analysis; traditional ranking algorithm; Algorithm design and analysis; Humans; Information services; Internet; Joining processes; Search engines; Social network services; Sun; Web pages; Web sites; Blog; content; implicit link; ranking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3112-0
Electronic_ISBN :
978-0-7695-3112-0
Type :
conf
DOI :
10.1109/ICICSE.2008.11
Filename :
4548226
Link To Document :
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