Abstract
Buying products online is becoming a way of life for people. Buying books online is also one of a way of life. With an increasing number of people buying books online, reviews of books written by other people are becoming more important. However, review systems which are serviced by websites of online bookstores or collected reviews have limited browsing and searching functions. Moreover, search engine for reviews posted such websites doesn’t exist. Therefore, retrieval system which is proper for searching reviews has been required. To the best of our knowledge, this is the first work that studies ranking techniques for book review retrieval. In this paper, we propose ranking techniques for book review retrieval based on the structural features. We show that our ranking techniques outperform previous a ranking technique for theinternet information retrieval on searching for reviews.
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Search engine for internet information, http://www.google.com
Online bookstore, http://www.amazon.com
Social network for readers, http://www.goodreads.com
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© 2011 Springer-Verlag Berlin Heidelberg
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Ryang, H., Yun, U. (2011). Effective Ranking Techniques for Book Review Retrieval Based on the Structural Feature. In: Lee, G., Howard, D., Ślęzak, D. (eds) Convergence and Hybrid Information Technology. ICHIT 2011. Lecture Notes in Computer Science, vol 6935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24082-9_44
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DOI: https://doi.org/10.1007/978-3-642-24082-9_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24081-2
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