摘要
人工智能技术的快速发展为智能客服问答系统带来了全新的变革。本文围绕人工智能在智能客服问答系统中的应用展开研究，重点探讨如何通过自然语言处理、深度学习和知识图谱等技术提升系统的理解能力与响应效率。融合多模态信息与上下文感知机制能够显著增强系统的智能化水平，从而提高用户体验与服务满意度。本研究旨在为构建高效、精准、个性化的智能客服系统提供理论支持与实践路径。
关键词： 人工智能；智能客服；自然语言处理；知识图谱；深度学习
Abstract
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 system's 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.
Key words： Artificial intelligence; Intelligent customer service; Natural language processing; Knowledge graph; Deep learning
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