Jaro similarity algorithm
Online tool to test the Jaro similarity algorithm
What is the Jaro similarity algorithm?
The Jaro similarity algorithm is a measure of the similarity between two strings. It is commonly used in natural language processing and information retrieval to calculate the similarity between two strings of text. The Jaro similarity algorithm compares the two strings character by character, taking into account the number of matching characters and the number of transpositions (or character swaps) needed to transform one string into the other. The resulting similarity score ranges from 0, indicating that the two strings are completely different, to 1, indicating that the two strings are identical.
At Tilores we use the Jaro similarity algorithm as one of the potential data record matching algorithms for entity resolution. These can be combined with other matching algorithms to allow fine-tuned data matching and deduplication.
Other Fuzzy Matching Algorithm Tools
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