Abstract
Online shopping has become a way of life for many people. Buying books online is also an example of such a lifestyle. As the number of buying books online increases, book reviews written by other readers are becoming more important. Therefore, demand for adequate search systems for finding meaningful online reviews has increased. However, such systems serviced by online bookstores or collected reviews have limited functionality. Moreover, there is no search engine for retrieving book reviews scattered in such websites. In this paper, we propose retrieval techniques which are proper for searching book reviews adopting estimated reviewer quality. We show that our techniques outperform previous techniques in searching for book reviews.
This research was supported by Basic Science Research Program through 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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Online bookstore, http://www.amazon.com
Search engine for internet information, http://www.google.com
Social network for readers, http://www.goodreads.com
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Ryang, H., Yun, U. (2012). Book Review Retrieval Techniques for Adopting Estimated Reviewer Quality. In: Lee, G., Howard, D., Kang, J.J., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2012. Lecture Notes in Computer Science, vol 7425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32645-5_69
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DOI: https://doi.org/10.1007/978-3-642-32645-5_69
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