A key enchancment of the brand new ranking mechanism is to reflect a extra accurate desire pertinent to recognition, pricing coverage and slot effect primarily based on exponential decay mannequin for online users. This paper research how the net music distributor ought to set its rating coverage to maximise the value of on-line music rating service. However, earlier approaches usually ignore constraints between slot value illustration and associated slot description representation within the latent area and lack enough model robustness. Extensive experiments and analyses on the lightweight fashions present that our proposed strategies achieve significantly increased scores and considerably improve the robustness of each intent detection and slot filling. Unlike typical dialog models that depend on huge, advanced neural network architectures and large-scale pre-educated Transformers to achieve state-of-the-art outcomes, our methodology achieves comparable outcomes to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction tasks. Still, even a slight enchancment may be price the cost.