A key improvement of the brand new rating mechanism is to reflect a extra accurate desire pertinent to popularity, pricing policy and slot impact primarily based on exponential decay model for online users. This paper studies how the online music distributor should set its rating policy to maximize the value of on-line music ranking service. However, previous approaches often ignore constraints between slot worth illustration and related slot description representation within the latent space and lack enough model robustness. Extensive experiments and analyses on the lightweight fashions show that our proposed strategies obtain considerably greater scores and substantially enhance the robustness of each intent detection and slot filling. Unlike typical dialog fashions that depend on big, complex neural community architectures and huge-scale pre-educated Transformers to attain state-of-the-artwork outcomes, our technique achieves comparable results to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction tasks. Still, even a slight enchancment might be price the cost.