A Precision Recommendation Mechanism for Qingyuan Tourism Resources: A Framework Based on Tourist Profiles and Tourist-Resource Matching

Qingyuan, a prefecture-level city in Guangdong Province, China, has rich ecological, cultural, rural, rafting, food, and family-oriented tourism resources. Under the “One Belt, One Corridor, and One Zone” cultural tourism strategy, the city seeks to improve resource integration, communication, and consumption conversion. However, fragmented information, uneven exposure, insufficient tourist-need identification, homogenized promotion, and weak tourist-resource matching still limit tourism development. As a conceptual framework study, this paper constructs a precision recommendation mechanism based on resource tagging, tourist profiling, tourist-resource matching, route-level recommendation, and feedback iteration, aiming to improve matching efficiency, reduce decision-making costs, and promote actual visits and consumption.