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AI METHOD AND COMPUTER READABLE RECORDING MEDIUM FOR PROVIDING ANSWERS BASED ON HYBRID HIERARCHICAL CONVERSATION FLOW MODEL WITH CONVERSATION MANAGEMENT MODEL USING MACHINE LEARNING
AI METHOD AND COMPUTER READABLE RECORDING MEDIUM FOR PROVIDING ANSWERS BASED ON HYBRID HIERARCHICAL CONVERSATION FLOW MODEL WITH CONVERSATION MANAGEMENT MODEL USING MACHINE LEARNING
Conversation Understanding A method is provided for providing answers based on a hybrid hierarchical conversation flow model that applies machine learning to conversation management technology performed by an AI service server. The method of the present disclosure includes generating a hybrid hierarchical dialogue flow model; Receiving a user's natural language input from a user terminal; Determining an intent of the user corresponding to the received natural language input; Determining a current intent group on the hybrid hierarchical conversation flow model; Calculating a matching rate of the intent of the user for each of the current intent group and a lower intent group of the current intent group; Determining whether the highest matching rate exceeds a predetermined threshold; When the highest matching rate exceeds a predetermined threshold, selecting an answer to the user input from the current intent group having the highest matching rate; And when the highest matching rate is below a predetermined threshold, switching to a deep learning mode and selecting an answer for a user input.
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