The hidden topic model extracts topics purely relying on the reviewer profile, so the topic vectors can be regarded as a summary of the reviewers' research interest.
the common topic vectors are selected based on the knowledge of both the submission and the reviewer's profile, which are expected to capture the topical overlap between the two.