Abstract
In this research, we propose a method of searching for minority information, which is less acknowledged and less popular, on the internet. We propose two methods to extract minority information. One is that of calculating relevance of content. The other is based on analogy expression. In this paper, we propose such a minority search system. At this time, we consider it necessary to search for minority information in which a user is interested. Using our proposed system, the user inputs a query which represents their interest in majority information. Then the system searches for minority information that is similar to the majority information provided. Consequently, users can obtain the new information that users do not know and can discover new knowledge and new interests.
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Hattori, Y., Nadamoto, A. (2012). Search for Minority Information from Wikipedia Based on Similarity of Majority Information. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds) Web Technologies and Applications. APWeb 2012. Lecture Notes in Computer Science, vol 7235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29253-8_14
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DOI: https://doi.org/10.1007/978-3-642-29253-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29252-1
Online ISBN: 978-3-642-29253-8
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