A Content-Based Algorithm for Blog Ranking

2008 International Conference on Internet Computing in Science and Engineering Pub Date : 2008-01-28 DOI:10.1109/ICICSE.2008.11

Jie Shen, Yan Zhu, Hui Zhang, Chen Chen, Rong-shuang Sun, Fa-yan Xu

引用次数: 14

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.

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基于内容的博客排名算法

由于博客的不同结构和内容特点，传统的网页排名算法显得有些不足。为了解决这一问题，提出了一种新的博客排名算法。该算法同时考虑了博客的链接分析和内容分析，有助于挖掘博客的更多隐含特征，如共同话题，以提高用户的满意度。实验结果表明，该方法能明显提高检索性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2008 International Conference on Internet Computing in Science and Engineering

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