Submit two text strings to see how they match with the Cosine similarity algorithm. No registration. No logging.
What Is The
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.
Unlock the value trapped in your messy, inconsistent and duplicate-riddled data. Let Tilores be your data "source of truth".
Compare Fuzzy Matching Algorithms
When you need to do fuzzy matching on high-volume data in real-time, you need a built-for-purpose technology: enter Tilores.
The fastest way to match and deuplicate data. Entity resolution software designed for data-centric enterprises.