Document Similarity with Cosine

Cosine similarity is faster to compute Cosine similarity is invariant to vector magnitude, so documents of different lengths but similar content still score as similar Cosine similarity always returns values between -1 and 0 Euclidean distance cannot be computed on sparse vectors