Abstract
Overwhelming search results often daunt web surfers on the web search engine. There have been many systems to try to solve this problem by constructing more specific search methods. Auto categorization and clustering have been presented. However, an efficient way of constructing the hierarchy of generated or pre-existing categories has not been suggested. We provide a dynamic category hierarchy structuring algorithm to reinforce the categorization and the clustering with using the fuzzy relational products. In this paper, we also propose a novel search method using this algorithm to complement the conventional directory search or category browsing and enhance the efficiency of search. Results from our evaluation show that our method helps users find categories more quickly and easily than conventional directory searching methods.
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Choi, B., Lee, JH., Park, S. (2003). Dynamic Construction of Category Hierarchy Using Fuzzy Relational Products. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_39
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DOI: https://doi.org/10.1007/978-3-540-45080-1_39
Publisher Name: Springer, Berlin, Heidelberg
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