Research on the optimization of digital resource curation and narrative pathways of Qi Great Wall based on Qi culture heritage

The Qi Great Wall is one of China's ancient and magnificent cultural heritages, carrying a profound Qi cultural legacy. Traditional methods of cultural display have struggled to fully leverage modern technology for precise and personalized promotion. This paper aims to explore the optimization of digital resource curation and narrative pathways for the Qi Great Wall through technological means such as intelligent recommendation, voice-guided tours, and social interaction. This can build a digital tourism system based on Qi cultural heritage, effectively integrating cultural information through personalized travel recommendations to promote the modern dissemination of Qi culture. The study uses intelligent recommendation algorithms to optimize the curation of Qi Great Wall's digital resources, including UBCF, IBCF, BPCF, FCM. The research shows that the FCM performs the best in terms of precision and recall, achieving a precision of 71.44% and recall rate of 71.82%, leading all other algorithms. Even when the number of concurrent users reaches 1,000, the system can still meet the basic needs of users under high load conditions without showing significant performance bottlenecks. The innovation of this study lies in combining the profound connotation of Qi culture with intelligent recommendation and voice-guided technologies to propose a new digital cultural dissemination pathway. This utilizes personalized travel recommendation algorithms to enhance the personalization of the tourist experience and breaks through the limitations of traditional cultural display methods.