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Jaro Similarity Algorithm

Submit two text strings to see how they match with the Jaro similarity algorithm. No registration. No logging.

 

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. 

More reading about the Jaccard similarity coefficient (Wikipedia)

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About

Tilores

When you need to do fuzzy matching on high-volume data in real-time, you need a built-for-purpose technology: enter Tilores.

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Real-time data ingestion and simultaneous search.

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