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Digital museum intelligent interactive system based on SSA-transformer-GRU algorithm
DOI:10.1016/j.entcom.2026.101183.png)
Abstract
En 中文
• Introduced a hybrid SSA-Transformer-GRU algorithm to automatically optimize model parameters for digital museum interactions. • Implemented a multi-modal data fusion process to effectively handle heterogeneous cultural relic data. • Developed an intelligent interactive system framework integrating knowledge graphs and personalized recommendation functions. • Demonstrated superior system performance with 94.2% response accuracy, 92.8% F1 score, and 1.3-s response time. • Enhanced user experience with a satisfaction score of 4.6/5.0, significantly outperforming traditional methods.
Journal
IF:
2.4
Papers:
287
Citations:
1.3K

