A key enchancment of the new rating mechanism is to reflect a more accurate preference pertinent to reputation, pricing coverage and slot impact primarily based on exponential decay mannequin for on-line users. This paper research how the net music distributor ought to set its rating coverage to maximise the value of on-line music ranking service. However, earlier approaches typically ignore constraints between slot worth representation and associated slot description illustration within the latent house and lack enough mannequin robustness. Extensive experiments and analyses on the lightweight fashions show that our proposed methods obtain significantly increased scores and substantially improve the robustness of each intent detection and slot filling. Unlike typical dialog fashions that depend on big, advanced neural community architectures and huge-scale pre-skilled Transformers to achieve state-of-the-art 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 worth the associated fee.