Linked from

The 9 pages that link to Cosine similarity, each with the reason it gives.

• Inner productRelated: It uses the angle encoded by an inner product to compare vector directions.

• Dot productRelated: It normalizes the dot product to compare orientation independently of vector magnitude.

• DistanceCompared with: It compares direction rather than how far apart vector endpoints are.

• Search engineRelated: Vector-based retrieval can use it to compare query and document representations.

• CosineBroader topic: It uses cosine to compare directions independently of vector magnitude.

• Inner product spaceRelated: It compares directions while ignoring vector magnitudes.

• Facial recognition systemRelated: It is one way to score whether two facial embeddings are alike.

• Sine and cosineBroader topic: It uses cosine to compare vector directions rather than to describe a point’s unit-circle coordinate.

• Ugly duckling theoremCompared with: It makes vector direction decisive rather than counting every describable property equally.