博客环境下的文章排名算法

Won-Seok Hwang, Sang-Wook Kim, Duck-Ho Bae, Young-Joo Do
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引用次数: 3

摘要

博客是一种个人网站,通常由个人维护,上面的帖子包含私人想法。现有的网页排名算法并不直接适用于博客环境下的文章排名,因为文章具有不同于网页的独特特性。在本文中,我们首先将博客和帖子之间的关系建模为一个二部图,称为post-blogger图。接下来,我们通过修改先前的网页排名算法来提出新的帖子排名算法,使其适合post-blogger图。然后,我们通过使用真实博客数据进行实验来评估帖子排名算法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Post Ranking Algorithms in Blog Environment
A blog is a personal web site, usually maintained by an individual, with posts that contain private thoughts. Existing algorithms for web-page ranking are not directly applicable to post ranking in blog environment since posts have their unique features different from those of web-pages. In this paper, we first model the relationships between bloggers and posts as a bipartite graph referred to as a post-blogger graph. Next, we propose new post ranking algorithms by modifying prior web-page ranking algorithms to be suitable for the post-blogger graph. Then, we evaluate the accuracy of post ranking algorithms by performing experiments using real-world blog data.
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