Under the circumstances where cultural tourism integration continues to deepen and digital technology is widely involved in cultural dissemination, the construction of original authenticity in cultural heritage tourism and the mechanism of tourists’ perception have received increasing attention. This paper focuses on the cultural heritage tourism scenario and constructs a multi-source heterogeneous data system integrating text, image, behavior and structured evaluation. It proposes a feature system of original authenticity, a modeling method for tourists’ perception correlation, and a five-layer perception analysis model based on multimodal feature fusion, and designs an intelligent computing framework for the relationship between original authenticity construction and tourists’ perception. Experimental results show that the model in the original authenticity feature recognition task achieves an Accuracy of 0.918 and a F1 value of 0.908, which are 0.039 and 0.040 higher than those of earlier splicing and fusion models respectively; in the ancient architectural site scenario, the Accuracy reaches 0.923, and the cross-scenario test Accuracy remains at 0.894, demonstrating good stability and generalization ability. The research can provide technical support and method references for the optimization of cultural heritage tourism display, the improvement of tourists’ experience and digital governance.
Povzetek: This paper focuses on the construction of authenticity in cultural heritage tourism and the issue of tourists’ perception. By integrating multi-source heterogeneous data such as text, images, behaviors, and structured evaluation, a system of authenticity characteristics, a multimodal perception analysis model, and a relationship calculation framework are constructed. The experimental results show that the model’s Accuracy is 0.918, F1 is 0.908, the cross-scenario Accuracy is 0.894, and it has good stability and generalization ability, which can provide references for the optimization of heritage display and digital governance.
