Cosine Similarity

Cosine similarity is a measure used to determine how similar two things are, based on the angle between them when represented as vectors in a multi-dimensional space. In everyday terms, think of it as comparing two documents or pieces of text. If they are very similar, the angle between their corresponding vectors is small, resulting in a high cosine similarity values (close to 1). If they are very different, the angle is larger, leading to lower values (close to 0). It’s widely used in fields like text analysis and recommendation systems to find related items or concepts.