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 ?