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Similarity search has been proved suitable for searching in large collections of unstructured data objects. A number of practical index data structures for this purpose have been proposed. All of them have been devised to process single queries sequentially. However, in large-scale systems such as Web Search Engines indexing multi-media content, it is critical to deal efficiently with streams of queries rather than with single queries. In this paper we show how to achieve efficient and scalabledoi:10.1016/j.jda.2008.09.010 fatcat:tyvgoy7ecrdehe626q6wjvdo4i