DSSM (Deep Structured Semantic Model) in Chatbots and Conversational AI is used to improve the understanding of user intent by mapping both user queries and potential responses into dense semantic vector representations. This allows the chatbot to match questions with the most relevant answers based on meaning rather than exact keywords. It enhances conversational accuracy, context awareness, and response relevance in dialogue systems. DSSM helps chatbots handle variations in phrasing, ambiguous inputs, and natural language diversity more effectively. It is widely used in intelligent virtual assistants and customer support systems to deliver more human-like and context-aware interactions.
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