Post Ranking Algorithms in Blog Environment

Hwang, Wonseok; Kim, Sang–Wook; Bae, Duck‐Ho; Do, Young-Joo

doi:10.1109/fgcns.2008.75

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…They create an enhanced graph of connected web logs and add new types of edges and weights utilizing many web log features. Won-Seok Hwang [6] modeled the ralationships between bloggers and posts as a bipartite graph referred to as a post-blogger graph, and propose a new rank algorithms called AuthHub .which is anew version of HITS. In AuthHub, an authority score is only given to a post, and a hub score is only to a blogger.…”

Section: Related Workmentioning

confidence: 99%

Discovering the important bloggers in blogspace

Zhu

2010

2010 International Conference on Artificial Intelligence and Education (ICAIE)

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Blog is increasingly becoming an important source of information. Some bloggers take important role in the blogspace. they write many high quality posts or good at summary, which impact fellow blogger in various ways. So discovering this important bloggers help the searcher to accuracy detect resource. In this paper, we develop a novel weighted link-based rank approach that integrates blogger and post in a unified framework (a bipartite graph model). The importance of blogger and post can mutually reinforce each other in an iterative way. We also take into post semantic content and time delay of citation considertion. Finally, we demonstrate the effectiveness of our model through several case studies using real-world data collected from the blogosphere.

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Section: Related Workmentioning

confidence: 99%

Discovering the important bloggers in blogspace

Zhu

2010

2010 International Conference on Artificial Intelligence and Education (ICAIE)

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Post Ranking in a Blogosphere with a Scrap Function: Algorithms and Performance Evaluation

Hwang¹,

Do²,

Kim³

2011

The KIPS Transactions:PartD

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According to the increasing use of blogs, a huge number of posts have appeared in a blogosphere. This causes web surfers to face difficulty in finding the quality posts in their search results. As a result, post ranking algorithms are required to help web serfers to effectively search for quality posts. Although there have been various algorithms proposed for web-page ranking, they are not directly applicable to post ranking since posts have their unique features different from those of web pages. In this paper, we propose post ranking algorithms that exploit actions performed by bloggers. We also evaluate the effectiveness of post ranking algorithms by performing extensive experiments using real-world blog data.

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The Topic-Rank Technique for Enhancing the Performance of Blog Retrieval

Shin¹,

Yun²,

Ryu³

2011

Journal of the Korea Society of Computer and Information

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As people have heightened attention to blogs that are individual media, a variety rank algorithms was proposed for the blog search. These algorithms was modified for structural features of blogs that differ from typical web sites, and measured blogs' reputations or popularities based on the interaction results like links, comments or trackbacks and reflected in the search system. But actual blog search systems use not only blog-ranks but also search words, a time factor and so on. Nevertheless, those might not produce desirable results. In this paper, we suggest a topic-rank technique, which can find blogs that have significant degrees of association with topics. This technique is a method which ranks the relations between blogs and indexed words

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Post Ranking Algorithms in Blog Environment

Cited by 3 publications

References 10 publications

Discovering the important bloggers in blogspace

Discovering the important bloggers in blogspace

Post Ranking in a Blogosphere with a Scrap Function: Algorithms and Performance Evaluation

The Topic-Rank Technique for Enhancing the Performance of Blog Retrieval

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