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The results of search engine usually contain a number of redundant information and how to eliminate it has become technology issues waiting to be explored. This paper proposed an improved elimination algorithm based on best similarity of the results. By analyzing the search results, extracting their key words, comparing the similarities, and clustering the results, the algorithm can eliminate the...
It does not consider how similar words are distributed in the text that the traditional algorithm of the VSM characteristic weighs - TF-IDF. For solving the problem, from the semantic view and combined optimization techniques, a improved IF-IDF Weighting algorithm is proposed. This algorithm can effectually reduce the subjective factors of faceted classification, and further improve the effect of...
Financial crisis originated from the financial system fragility. To prevent the financial crisis, this article used the hierarchical clustering analysis to determine the classification of China's financial fragility. Firstly, seven micro indexes have main effect on financial fragility through analysis of the financial system in China. Secondly, seven micro index data from 1998 to 2009 are listed according...
In this paper, the region-based image segmentation method is adopted to segment the remote sensing images after continuous analyzing and testing. The author extracts the wetland information from the remote sensing image by region-based image segmentation, and compares the segmentation results with the interpretation results by conventional methods. According to the result of the comparison, the author...
Opposite re-ranking is a novel strategy to personalized information retrieval, it utilizes the description structure opposed to query intention, to achieve the recognition and dispelling of obstinate-negative feedback. At present, an important problem of the research in the opposite re-ranking is how to establish the maximum discriminative and representative opposite query intention. Aiming at the...
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