Abstract
A majority of researches for blog retrieval have only focused on a keyword-based search manner under consideration of fundamental blog characteristics. However, these keyword-based methods have limitations such as the limitation of keyword usage. Especially, use of irrelevant or ambiguous keywords leads to low quality of blog information retrieval. In this paper, we propose a blog ranking method considering blog pages instead of keywords as a search query. Consequently, the proposed method can solve the problem caused from the use of irrelevant keywords by efficiently selecting important keywords in accordance with the characteristics of blog pages. In addition, we present that our algorithm outperforms the previous blog retrieval algorithm in terms of Precision and Recall.
This research was supported by the MSIP (Ministry of Science, ICT & Future Planning), Korea, under ICT/SW Creative research program supervised by the NIPA (National ICT Industry Promotion Agency) (NIPA-2014-H0502-14-3008) and the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF No. 2013-005682).
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Yun, U., Lee, G., Pyun, G. (2015). Correlated Blog-Page Retrieval with Structural Characteristics. In: Park, J., Stojmenovic, I., Jeong, H., Yi, G. (eds) Computer Science and its Applications. Lecture Notes in Electrical Engineering, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45402-2_28
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DOI: https://doi.org/10.1007/978-3-662-45402-2_28
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