1. A computer-implemented method of subspace learning for ranking, the method comprising: learning from a plurality of labeled queries; applying the learning from the labeled queries for ranking unranked documents; obtaining, via the applying, a learned latent semantic space (LSS) for ranking unranked documents; providing ranking for unranked documents in the learned LSS; reporting the learned LSS including the unranked documents based at least in part on the ranking.