Abstract
This paper proposes a method that quantifies the similarity between documents based on the level of relevance among terms in order to deliver a search that captures the meaning of documents. More specifically, this paper proposes a method that uses a concept-base to look for relevance among different terms and calculates the degree of association between documents using the Earth Mover’s Distance. When the proposed methods were subjected to comparison tests with other methods using the NTCIR3-WEB, they achieved good results.
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Watabe, H., Yoshimura, E., Tsuchiya, S. (2009). Degree of Association between Documents Using Association Mechanism. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04595-0_30
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DOI: https://doi.org/10.1007/978-3-642-04595-0_30
Publisher Name: Springer, Berlin, Heidelberg
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