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This paper presents an approach to detect and cluster similar results of search engine based on analyzing pages' URLs and their contents. A novel hash function, together with a Chinese key concept extractor module, has been used. The similar measurement on key concept overlap degree is proposed to cluster similar retrieval results. This can minimize the(More)
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