👉 Scores in computing are numerical values derived from various algorithms that quantify the similarity or relevance between two pieces of data, such as text documents or images. These scores are typically computed using techniques like cosine similarity, Euclidean distance, or learned embeddings from models like BERT or Word2Vec. In the context of text documents, for instance, a score might be calculated by measuring how closely the vector representations of two texts align in a high-dimensional space, with higher scores indicating greater similarity or relevance. The specific method and parameters used to compute these scores depend on the task, such as information retrieval, recommendation systems, or natural language processing. The scores are often normalized to ensure comparability across different pairs of data points, making it easier to rank or filter results based on their perceived relevance or similarity.
