摘要
为解决新媒体时代用户面临的音频信息过载和内容选择困难问题,设计一种智能新媒体音频推荐系统。首先,分析智能音频推荐系统的框架,探讨其关键组成部分和工作原理。其次,分析基于协同过滤的音频推荐方法。最后,构建相应的系统原型,并进行系统性能测试。
To solve the problems of audio information overload and content selection difficulties faced by users in the era of new media,this article designs an intelligent new media audio recommendation system.Firstly,analyze the framework of the intelligent audio recommendation system,explore its key components and working principles.Secondly,analyze audio recommendation methods based on collaborative filtering.Finally,build the corresponding system prototype and conduct system performance testing.
作者
赵文斐
ZHAO Wenfei(Zhengzhou University of Industrial Technology,Zhengzhou 451100,China)
出处
《电声技术》
2024年第3期1-3,共3页
Audio Engineering
关键词
音频推荐
协同过滤
系统设计
相似性推荐
audio recommendation
collaborative filtering
system design
similarity recommendation