Data-Driven Information Resource Optimization for Cultural Tourism
Abstract
Against the backdrop of global smart tourism, traditional cultural tourism faces limitations: disconnected technologies, lack of data-driven personalization, and no real-time regulation. This study proposed an artificial intelligence (AI)-driven framework integrating digital intellectual property, augmented reality, and location-based entertainment (LBE), with three innovations: a closed-loop AI model for multi-dimensional information resource collection/classification/processing/visualization/monitoring, a discrete AI model resolving AR-LBE compatibility, and an embedded real-time monitoring module. Post-optimization errors (E, OUT) drop to ≤4% (vs. 5.51%-14.80% pre-optimization). Core variables (cultural tourism resources, consumer willingness, technical degree) are independent (Q
Fields of Study & Subjects
Advanced Technologies in Various Fields
Diverse Aspects of Tourism Research
Digital Marketing and Social Media
Publication details
- Journal / source
- Information Resources Management Journal
- Publisher
- IGI Global Scientific Publishing
- Volume
- 39
- Issue
- 1
- Pages
- 1–25
- Publication date
- 9 February 2026
- Language
- NG