Similarity score

A similarity score is a quantitative measure used to assess how similar two entities are to each other. The entities could be anything from text documents, images, user profiles, or any other data types. Similarity scores are commonly used in various domains, including: 1. **Text Analysis**: In natural language processing (NLP), similarity scores can be calculated using methods like cosine similarity, Jaccard index, or using models like TF-IDF, word embeddings (e.g.