Abstract
Ranking algorithm is one of the most important issues in information retrieval researches. It can be divided into two types according to purpose, general and specific purpose algorithms. Although the general purpose algorithms can be effective for retrieving relevant documents on the internet, it is difficult to find meaningful information of specific targets such as blogs or twitter since the algorithms do not consider unique characteristics of the targets. Recently, ranking algorithms have been proposed for searching useful book reviews by reflecting unique features of book reviews. In this paper, we propose a novel algorithm, RUD (Ranking based on User Discussion), for ranking book reviews to improve performance based on user discussion. For performance evaluation, we conduct precision and recall tests. The experimental results show that the proposed algorithm outperforms previous algorithms.
* 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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Ryang, H., Yun, U. (2014). Ranking Book Reviews Based on User Discussion. 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_2
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DOI: https://doi.org/10.1007/978-3-642-40675-1_2
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