Abstract
In recent years, while amounts of the information in the blogosphere increase rapidly, the problems of information quality have come up. Discovering a good quality data is the important issue in blog space with overflowed information. In this paper, we present WCT algorithm for efficient blog ranking. This method performs a ranking process using both interconnection of blogs and structural weights for content in blog. In the performance analysis, we discuss the comparison between our algorithm and the previous algorithm for blog ranking. The result shows that our proposal has the high performance than other blog retrieval method.
This research was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF No. 2012-0003740 and 2012-0000478).
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Kim, J., Yun, U. (2014). The Blog Ranking Algorithm Using Analysis of Both Blog Influence and Characteristics of Blog Posts. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_3
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DOI: https://doi.org/10.1007/978-3-642-40675-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
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