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云计算与AI技术融合在智能推荐系统中的应用

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本文旨在探讨云计算与人工智能(AI)技术在智能推荐系统中的应用及其效果.研究设计了一种基于深度置信网络(DBN)的智能音乐推荐算法,并利用云计算平台进行计算和数据处理.通过对比实验,评估了本算法与传统推荐算法在准确率、召回率及推荐误差等方面的差异.结果显示,基于DBN的推荐算法在准确率和召回率上均优于传统算法,且在处理大规模音乐数据时,展现出更低的误差率和更高的稳定性.此外,还通过系统载荷测试验证了本算法在处理复杂数据和大量用户请求时的高效性能.
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.

cloud computingartificial intelligence(AI)intelligent recommendation systemindividuation

王宁、陈伟

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安徽警官职业学院司法部生命科学和信息技术重点实验室,安徽 合肥 230031

安徽警官职业学院信息管理系,安徽 合肥 230031

南京邮电大学计算机学院,江苏南京 210003

云计算 人工智能(AI) 智能推荐系统 个性化

2024

上海师范大学学报(自然科学版)
上海师范大学

上海师范大学学报(自然科学版)

影响因子:0.255
ISSN:1000-5137
年,卷(期):2024.53(6)