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http://dx.doi.org/10.9728/dcs.2017.18.3.551

The Blog Ranking Algorithm Reflecting Trend Index  

Lee, Yong-Suk (Graduate School of Information Security, Korea University)
Kim, Hyoung Joong (Graduate School of Information Security, Korea University)
Publication Information
Journal of Digital Contents Society / v.18, no.3, 2017 , pp. 551-558 More about this Journal
Abstract
The growth of blogs has two aspect of providing various information and marketing. This study collected the rankings of blog posts of large portal using OpenAPI and investigated the features of blogs ranked through the exploratory data analysis technique. As a result of the analysis, it was found that the influence of the blogger and the recent creation date of the post were highly influential factors in the top rank. Due to the weakness of these evaluation algorithms, there was a problem of showing the search results which is concentrated to the power blogger's post. In this study, we propose an algorithm that improves the reliability of content by adding the reliability DB information which is verified by the experts and reflects the fairness of the application of the ranking score through the trend index indicating various public interests. Improved algorithms have made it possible to provide more reliable information in the search results of the relevant field and have an effect of making it difficult to manipulate ranking by illegal applications that increase the number of visitors.
Keywords
Blog; Ranking algorithm; Blog retrieval; Information retrieval;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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