A key enchancment of the brand new rating mechanism is to replicate a extra correct desire pertinent to popularity, pricing policy and slot impact based on exponential decay mannequin for on-line users. This paper research how the web music distributor ought to set its rating coverage to maximize the value of online music ranking service. However, earlier approaches usually ignore constraints between slot value representation and related slot description illustration within the latent space and lack sufficient model robustness. Extensive experiments and analyses on the lightweight models show that our proposed strategies achieve significantly larger scores and considerably enhance the robustness of both intent detection and slot filling. Unlike typical dialog fashions that depend on large, complex neural community architectures and large-scale pre-trained Transformers to realize state-of-the-artwork 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 might be price the fee.