B2Rank:基于行为特征的博客排名算法

IEEE/WIC/ACM International Conference on Web Intelligence (WI'07) Pub Date : 2007-11-02 DOI:10.1109/WI.2007.28

Ljiljana Stojanović, N. Stojanović, Jun Ma Fzi, Ljiljana Stojanović, N. Stojanović, Jun Ma

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引用次数: 26

摘要

博客已经成为网络最重要的组成部分之一，但我们没有如此高效的搜索引擎。其中一个原因是普通网页和博客网页之间的差异，以及传统网页排名算法对博客排名的效率低下。这一领域已有一些研究，但尚未考虑到用户的行为特征。在本文中，我们提出了一种新的基于这些特征的博客排名算法B2Rank。

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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B2Rank: An Algorithm for Ranking Blogs Based on Behavioral Features

Blogs have become one of most important parts of web but we do not have so efficient search engines for them. One reason is differences between regular web pages and blog pages and inefficiency of conventional web pages ranking algorithms for blogs ranking. There are some works in this field but users' behavioral features have not considered yet. In this paper we present a new blogs ranking algorithm called B2Rank based on these features.

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来源期刊

IEEE/WIC/ACM International Conference on Web Intelligence (WI'07)

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