Information Display Interaction System Design Based on Visual Communication
Abstract
In the digital era, information display interaction systems are pivotal for advertising design, yet traditional solutions suffer from information overload, inadequate interactivity, and mismatches between design and technology. To address these issues, this study develops a visual communication-based information display interaction system for advertising. The system integrates four core modules: visual presentation with hierarchical information processing, user data analysis via the Transformers model, personalized recommendations using collaborative filtering, and technical support with multi-layered security safeguards. Experimental results validate its superior performance: the advertising click-through conversion rate reaches 4%, doubling that
of traditional advertising; in personalized recommendations, it achieves a precision of 0.82, recall rate of 0.78, and F1 score of 0.80,
outperforming other mainstream strategies; the average response time is 250.97 ms, with a request failure rate below 5% even under high load. This system maintains robust stability and efficiency in high-concurrency scenarios, significantly enhancing advertising effectiveness. It not only proves reliable in practical application but also offers valuable insights for the optimization of future advertising information display systems.
Keywords: Information Display Interactive System; Advertising Design; Visual Communication; Personalized Recommendations; System Stability
Cite As
Q. Wang, "Information Display Interaction System Design Based on Visual Communication", Engineering Intelligent Systems,
vol. 34 no. 2, pp. 235-244, 2026.