Fuzzy wuzzy algorithm
Online tool to test the Fuzzy wuzzy algorithm
What is the Fuzzy wuzzy algorithm?
The Fuzzy Wuzzy matching algorithm is one specific algorithm that uses fuzzy matching to find approximate string matches. It is based on the Levenshtein distance, which is a measure of the difference between two strings. The Fuzzy Wuzzy algorithm uses this measure to find approximate string matches, but it also includes additional logic to improve the accuracy of the matches. For example, it may give more weight to certain types of edits, or it may use other techniques to filter out false positives. In this way, the Fuzzy Wuzzy algorithm is a more advanced version of the Levenshtein distance, designed specifically for finding approximate string matches. It can be used to match names in a list of customer records, even if the names are spelled differently or are slightly different.
At Tilores we use the Fuzzy Wuzzy 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
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