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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References
Aizawa, A.N.: An Information-theoretic Perspective of TF-idf Measures. Journal Information Processing and Management 39(1), 45–65 (2003)
Page, L., Brin, S., Motwani, R., Winograd, T.: The PageRank Citation Ranking: Bringing Order to the Web. Technical Report, Stanford InfoLab (1999)
Ryang, H., Yun, U.: Book Review Retrieval Techniques for Adopting Estimated Reviewer Quality. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds.) ICHIT 2012. LNCS, vol. 7425, pp. 550–557. Springer, Heidelberg (2012)
Ryang, H., Yun, U.: Effective Ranking Techniques for Book Review Retrieval Based on the Structural Feature. In: Lee, G., Howard, D., Ślęzak, D. (eds.) ICHIT 2011. LNCS, vol. 6935, pp. 360–367. Springer, Heidelberg (2011)
Sarma, A.D., Sarma, A.D., Gollapudi, S., Panigrahy, R.: Ranking mechanisms in twitter-like forums. In: WSDM, New York, pp. 21–30 (2010)
Weerkamp, W., Rijke, M.: Credibility-inspired ranking for blog post retrieval. Information Retrieval 15(3-4), 243–277 (2012)
Yun, U., Ryang, H., Pyun, G., Lee, G.: Efficient Opinion Article Retrieval System. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds.) ICHIT 2012. LNCS, vol. 7425, pp. 566–573. Springer, Heidelberg (2012)
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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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