A key enchancment of the brand new ranking mechanism is to mirror a more accurate preference pertinent to popularity, pricing coverage and slot impact based mostly on exponential decay model for on-line customers. This paper studies how the web music distributor should set its ranking policy to maximize the worth of online music rating service. However, previous approaches usually ignore constraints between slot worth representation and associated slot description illustration in the latent area and lack enough model robustness. Extensive experiments and analyses on the lightweight models show that our proposed strategies obtain significantly greater scores and substantially improve the robustness of each intent detection and slot filling. Unlike typical dialog fashions that depend on huge, complex neural community architectures and huge-scale pre-skilled 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 improvement may be value the associated fee.