Abstract
We present a system for retrieving web pages which contain product reputations. We assume that product reputations are contained in personal pages and message board pages, and propose the system to retrieve those web pages. We illustrate that the system can distinguish those web pages automatically from other pages using six kinds of features extracted from a web page. We have evaluated the performance of the proposed system by computing precision and recall measures.
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© 2004 Springer-Verlag Berlin Heidelberg
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Hayashi, T., Kinosita, Y., Onai, R. (2004). Retrieval of Product Reputations from the WWW. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_26
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DOI: https://doi.org/10.1007/978-3-540-30134-9_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23205-6
Online ISBN: 978-3-540-30134-9
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