Details

Autor(en) / Beteiligte

• Kim, Jiwon
• Yun, Unil
• Pyun, Gwangbum
• Ryang, Heungmo
• Lee, Gangin
• Yoon, Eunchul
• Ryu, Keun Ho

Titel

A blog ranking algorithm using analysis of both blog influence and characteristics of blog posts

Ist Teil von

• Cluster computing, 2015-03, Vol.18 (1), p.157-164

Ort / Verlag

Boston: Springer US

Erscheinungsjahr

2015

Quelle

SpringerNature Journals

Beschreibungen/Notizen

• In recent years, with the increasing number of blogs to share information, the ratio of blogs on the World Wide Web has been raised. In this regard, the problem of information quality has come up due to the rapidly increasing amount of information in a blogosphere. Therefore, discovering good quality information is one of the significant issues in the blog space. In this paper, we propose an algorithm for efficient blog ranking, called WCT (a blog ranking algorithm using Weighted Comments and Trackbacks). This method performs a ranking process through not only interconnection analysis of blogs but also structural weights for contents in the blogs. Moreover, we conduct performance evaluation and discuss the performance between our algorithm and a previous algorithm by comparing their experimental results, which show that our approach has higher performance than that of the other blog retrieval method.