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.