Tourism business service method and system based on AI agent, medium and product

Abstract

A tourism business service method and system based on an AI agent, a medium and a product, relate to the field of big data resource services, and the method comprises: acquiring multi-source heterogeneous data and mapping to a tourism field knowledge graph, generating a dynamic knowledge graph and inputting to an intention prediction model to obtain a target customer's clue heat value and stage stay probability to determine the target customer's follow-up strategy instruction; retrieving nodes in the dynamic knowledge graph that satisfy a preset constraint condition to obtain a candidate resource set and inputting to a large language model for text construction to generate an initial itinerary text; performing inventory interface verification and locking on the initial itinerary text to generate a to-be-confirmed itinerary scheme; pushing the to-be-confirmed itinerary scheme to a client terminal according to the corresponding touch channel matched by the stage stay probability, and updating the operation configuration parameters based on the interaction feedback data. The implementation of the present application can realize the overall process optimization from clue intention recognition, dynamic itinerary to resource locking, and improve the conversion efficiency.

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