I'm computing cosine similarities between 2 vectors.
These vectors are information retrieval query and document representations respectively.
They have been computed using tf-idf weights.
Since my documents have different length, tf-idf weights are theoretically unbounded.
The question is: is cosine similarity still a valid measure? Can I compare several cosine similarities for each doc?