Cosine Similarity Algorithm

Online tool to test the Cosine similarity algorithm

What is the Cosine similarity algorithm?

The cosine similarity algorithm is a measure of similarity between two vectors. It is commonly used in information retrieval and text mining to calculate the similarity between two documents. The algorithm calculates the cosine of the angle between the two vectors, which is a measure of their orientation relative to each other. This can be used to determine how similar the documents are to one another.

At Tilores we use the cosine 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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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.

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