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This paper presents a new algorithm for calculating hash signatures of setswhich can be directly used for Jaccard similarity estimation. The new approachis an improvement over the MinHash algorithm, because it has a better runtimebehavior and the resulting signatures allow a more precise estimation of theJaccard index.

SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation