Research on User Intent Recognition Technology Based on Graph Neural Network in Power Marketing Intelligent Customer Service System

How to communicate with users in a timely and effective manner and determine the intentional purpose of customers plays an important role in promoting continuous user interaction and improving service efficiency in the power marketing industry.The article firstly researches on a single-round natural language understanding algorithm based on intent-slot bi-directional interaction, which adopts a bi-directional information flow to realize the bi-directional information interaction between intent and slot.In the intention recognition layer, the interaction attention mechanism is utilized to introduce slot context information.Then the overall design scheme for the construction of an intelligent customer service system for power marketing from dialogue state keeping, multi-round question and answer, model storage to answer visualization is proposed, and the potential functional requirements are analyzed exhaustively.Finally, experiments from various aspects prove the effectiveness of the proposal in this paper.In the comparison experiments on MixATIS with MixSNIPS dataset and DSTC4 dataset, the metrics are improved by 0.3%, 1.5% and 0.5% respectively when comparing GL-GIN model on MixATIS dataset.This leads to the feasibility of the intelligent customer service system for power marketing constructed in this paper.