In this paper, we present an approach to software component ranking intended for use in searching for such components on the internet. The method used introduces a novel method of weighting keywords that takes account of where within the structure of a component the keyword is found. This hierarchical weighting scheme is used in two ranking algorithms: one using summed weights, the other using a vector space model. Experimental comparisons with algorithms using TF-IDF weighting that ignore component structure are described. The results demonstrate consistent superiority of the hierarchical weighting approach. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Gui, G., & Scott, P. D. (2005). Vector space based on hierarchical weighting: A component ranking approach to component retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3756 LNCS, pp. 184–193). https://doi.org/10.1007/11573937_21
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