Scientific Development Research

The rapid development of artificial intelligence (AI) technology has brought about new transformations for intelligent customer service question-answering systems. This paper focuses on the application of AI in intelligent customer service question-answering systems, with an emphasis on exploring how technologies such as natural language processing (NLP), deep learning, and knowledge graphs can enhance the systems understanding ability and response efficiency. The integration of multimodal information and context-aware mechanisms can significantly improve the intelligence level of the system, thereby enhancing user experience and service satisfaction. This study aims to provide theoretical support and practical approaches for constructing efficient, accurate, and personalized intelligent customer service systems.

Artificial intelligence; Intelligent customer service; Natural language processing; Knowledge graph; Deep learning