Automatic response method based on electricity transaction, terminal and storage medium

Abstract

The invention relates to an automatic response method based on power transaction, a terminal and a storage medium. The automatic response method comprises the following steps: S101, merging similar questions or inserting knowledge points in a knowledge base through created questions, question keywords and user instructions; s102, setting weights for user type parameters corresponding to the knowledge points, and performing word segmentation and obtaining the user type parameters according to the received user question; s103, screening matched knowledge points from the knowledge base according to the segmented words, sorting the knowledge points through user type parameters corresponding to the user question sentences and weights corresponding to the user type parameters of the knowledge points, and obtaining an optimal result; and S104, replying the user question according to the recommendation response corresponding to the optimal result. According to the method, the customer service number is reduced, the labor cost is reduced, a large number of users can be coped with, the reply efficiency is high, the reply speed is high, the service efficiency and the user experience are improved, and the customer obtaining cost is reduced.

Description

technical field [0001] The invention belongs to the technical field of online question answering, and in particular relates to an automatic answering method based on power transaction, a terminal and a storage medium. Background technique [0002] The reform of the power sales side is one of the core contents of the new round of power system reform. In the new generation of power retail trading scenarios, more and more general industrial and commercial households participate in power market transactions. Among them, during the transaction process, the power sales companies We often encounter scenarios where users consult online. [0003] In order to reply to users’ online inquiries, the electricity sales company adopts the method of setting up manual customer service to reply. This reply method needs to set up a large number of customer service personnel, which increases labor costs. Moreover, the manual processing method is inefficient and difficult to handle a large number...

AI Technical Summary

Problems solved by technology

[0003] In order to reply to users’ online inquiries, the electricity sales company adopts the method of setting up manual customer service to reply. This reply method needs to set up a large number of customer service personnel, which increases labor costs. Moreover, the manual processing method is inefficient and difficult to handle a large number of users at the same time. In the case of consultation, it is easy to have low response efficiency and long response time. The service efficiency is low and the user experience is reduced.

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