Research on Intelligent Human-Computer Interaction Technology of Tobacco System

A core problem of human-computer interaction in tobacco systems is that different users have different operating styles, different working environments and contents, different understanding and handling of work business, and different professional skills and language habits. This paper proposes an intelligent human-computer interaction technology scheme based on speech recognition, character recognition and natural language processing, and designs different in-depth learning algorithms according to different business environments. Users can interact with the machine once or multiple times according to their own needs, so as to achieve a wide range of coverage of Tobacco system business. Based on the Chatbot+Uibot platform used by Yunnan Tobacco, research on intelligent human-computer interaction technology to achieve multiple rounds of deep-level communication of human-computer interaction in complex working environments has certain reference value for the applications in enterprise management, and provides technology exploration, application and promotion reserves for the construction of digital transformation of Yunnan Tobacco industry.