Choi Bum-Ghi, Park Sun, Park Tae-Su, Song Jae-Won, Lee Ju-Hong, Journal of Internet Computing and Services, Vol. 7, No. 2, pp. 71-80, Apr. 2006
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Keywords: Web Search Engine, Dynamic Category Hierarchy

Abstract

In web search engines, there are two main methods: directory searching and keyword searching. Keyword searching shows high recall rate but tends to come up with too many search results to find which users want to see the pages. Directory searching has also a difficulty to find the pages that users want in case of selecting improper category without knowing the exact category, that is, it shows high precision rates but low recall rates. We designed and implemented a new web search engine to resolve the problems of directory search method. It regards a category as a fuzzy set which contains keywords and calculate the degree of inclusion between categories. The merit of this method is to enhance the recall rate of directory searching by expanding subcategories on the basis of similarity.

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