Online Tool

Jaccard Similarity Coefficient

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


What Is The 

Jaccard Similarity Coefficient Algorithm?

The Jaccard similarity coefficient, also known as the Jaccard index, is a measure of similarity between two sets. It is defined as the size of the intersection of the two sets divided by the size of the union of the two sets. The Jaccard similarity coefficient ranges from 0, indicating that the two sets have no elements in common, to 1, indicating that the two sets are identical. This metric is commonly used in a variety of fields, including natural language processing and recommendation systems, to calculate the similarity between two sets of data.

At Tilores we use the Jaccard similarity coefficient 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)


Fuzzy Matching Algorithm Tools

Unlock the value trapped in your messy, inconsistent and duplicate-riddled data. Let Tilores be your data "source of truth". 

Compare all

Compare Fuzzy Matching Algorithms

Other Fuzzy Matching Algorithm Tools

Are we missing a fuzzy matching algorithm you would like to test?



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

Consistently fast search response times

Built for unlimited serverless scaling

Real-time data ingestion and simultaneous search.

Configure matching rules easily in the UI

Data privacy compliant by design

Identity resolution for fraud prevention, KYC and marketing.

Get the latest updates

©2023 Tilores, All right reserved.