First of all, the original model <cite>(Zhang et al., 2014)</cite> does not reset the relevance weight of sdnodes after every iteration. This results in a continued decrease of the relevance weight of sd-nodes, which weakens the effect of sd-nodes during the iterative propagation and in turn affects the final performance. To tackle this problem, we decrease the relevance weight of bk-nodes and increase that of sd-nodes according to a fixed ratio after every iteration, so as to ensure that the total weight of sd-nodes is always higher than that of bk-nodes.