Design And Implementation Of Intelligent Customer Service System Based On Java

The application and popularization of artificial intelligence and 5G networks will bring about changes in the times.Enterprises should seize such opportunities and must create better products and provide better services.Chatbots will play a very important role in this process: smarter products require people and machines to talk,and a better user experience also requires intelligent questions and answers.The customer service system in this article includes artificial agents and intelligent customer service.The default is the intelligent robot dialogue.Questions that cannot be answered are answered by the artificial agents.Chatbot is an application that uses NLP to simulate human conversation.Intelligent chat robots can replace fixed conversations in enterprises and repetitive tasks that require a lot of manpower.Enterprises need to quickly respond to customer service questions.In the current market,there are many applications that can provide a more comprehensive intelligent customer service system.Relatively speaking,channel docking is already very mature,and the corresponding API interface is also open so it is easier to integrate.But in the intelligent robot customer service,the user experience is mostly uneven.In general,robots can be divided into QA-Bot robots,task processing robots,and chat robots according to their functions.The intelligent customer service system is a question-and-answer robot that does some consultation.It does not require the identification of intentions.Self-learning ability,QA-Bot is a question and answer type.We use the BM25 algorithm to match customer questions in the knowledge base and reply according to the scoring mechanism exceeding the threshold..In this paper,robot customer service involves creating robots,installing robot plug-ins,dictionary management,knowledge base question and answer pairs,intention recognition,single-round and multi-round dialogue systems,and dialogue system implementation.This system is mainly to do an intelligent customer service system basedon Java,using spring framework,My SQL database,Active Mq message middleware,Redis cache,Elasticsearch full-text search and other services.The development tasks included in an intelligent customer service system include: mainly including front-end page development,Background design,the dialogue system between the customer service and the user,and the way the system is deployed.In the Windows environment,you can install related application services as Windows services,or you can use the container orchestration tool k8 s to deploy the developed applications in the docker container.