A Smart Rural Platform Scenic Spot Simulation System Based on Artificial Intelligence and Augmented Reality Technology
In order to enhance the rural tourism experience and protect rural cultural heritage.The study introduced deep neural networks and double regularized matrix factorization models to achieve accurate personalized scenic spot recommendation.A hybrid recommendation algorithm based on matrix factorization algorithm was designed and integrated with virtual reality technology to develop a smart rural platform scenic spot simulation system.The experimental results showed that the proposed hybrid recommendation algo-rithm had the highest accuracy.When the number of users reached 800,the algorithm converged to 93.2％.In addition,middle-aged people have the highest psychological accessibility evaluation of the system,with a positive rating of 94.4％.In summary,the system has performed well in terms of accuracy and user satisfaction.
feature recognitionartificial intelligenceaugmented Realitysmart village
万方数据
维普
