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For queries that are ordered by a relevance score (i.e. a BM25 score), Tantivy goes one step further with an optimization called Block WAND. Conceptually, this means skipping the evaluation of entire chunks of documents unless they have a mathematical possibility of entering the Top K.
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This article is republished from The Conversation under a Creative Commons license. Read the original article.
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One by-product of weighing the candidates by their distance is that the resulting output image is prone to false contours or banding. Increasing reduces this effect at the cost of added granularity or high frequency noise due to the introduction of ever more distant colours to the set. I recommend taking a look at the original paper if you’re interested in learning a bit more about the algorithm[1].