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A key enchancment of the brand new rating mechanism is to replicate a extra correct preference pertinent to recognition, pricing coverage and slot effect based mostly on exponential decay mannequin for online users. This paper research how the online music distributor ought to set its ranking coverage to maximise the value of on-line music ranking service. However, previous approaches often ignore constraints between slot worth representation and related slot description illustration within the latent house and lack enough model robustness. Extensive experiments and analyses on the lightweight fashions present that our proposed methods achieve significantly larger scores and substantially improve the robustness of both intent detection and slot filling. Unlike typical dialog fashions that depend on enormous, advanced neural network architectures and huge-scale pre-educated Transformers to realize state-of-the-artwork results, our method achieves comparable results to BERT and even outperforms its smaller variant DistilBERT on conversational slot extraction duties. Still, even a slight enchancment may be worth the cost.