US Patent 9311403 Hashing techniques for data set similarity determination

Methods, systems and computer program product embodiments for hashing techniques for determining similarity between data sets are described herein. A method embodiment includes, initializing a random number generator with a weighted min-hash value as a seed, wherein the weighted min-hash value approximates a similarity distance between data sets. A number of bits in the weighted min-hash value is determined by uniformly sampling an integer bit value using the random number generator. A system embodiment includes a repository configured to store a plurality of data sets and a hash generator configured to generate weighted min-hash values from the data sets. The system further includes a similarity determiner configured to determine a similarity between the data sets.