Cosine Similarity is a measure of similarity between two data sets. It is commonly used in information retrieval, recommendation systems, and other areas where it is necessary to compare the similarity of two documents or items. This is relatively robust to the effects of scaling, translation, and rotation. For example, in the case of textual data, cosine similarity can be used to find the similarity of texts in the document.
