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In this paper, we study the problem of privacy-preserving top-k keyword similarity search over outsourced cloud data. Taking edit distance as a measure of similarity, we first build up the similarity keyword sets for all the keywords in the data collection. We then calculate the relevance scores of the elements in the similarity keyword sets by the widely used tf-idf theory. Leveraging both the similarity...
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