The general idea here is that instead of drawing λ l,m from an uninformative gamma prior as in our original model, we draw it from a prior distribution informed by the second-layer labels, as follows: where λ l ,m captures the correlation between labels at the two layers.
the information of the second-layer labels will be propagated down to the assignment process of the documents.