The application of cloud computing and AI technology integration in intelligent recommendation system
The application and effectiveness of cloud computing and artificial intelligence(AI)technology in intelligent recommendation system was explored in this article.An intelligent music recommendation algorithm based on deep belief networks(DBN)was designed and cloud computing platforms were utilized for computation and data processing.Through comparative experiments,a comprehensive evaluation was conducted between the new algorithm and traditional recommendation algorithms in terms of accuracy,recall,and recommendation error.The results showed that the recommendation algorithm based on DBN outperformed traditional algorithms in both accuracy and recall,and exhibited lower error rates and higher stability when processing large-scale music data.In addition,the efficiency of the new algorithm in handling complex data and large number of user requests was also verified through system load testing.