AI算法在智能电视内容推荐系统中的应用  

Application of AI Algorithms in Smart Television Content Recommendation Systems

作　　者：蒋丽娜[1] JIANG Lina(Yongzhou Vocational and Technical College,Yongzhou 425000,China)

机构地区：[1]永州职业技术学院,湖南永州425000

出　　处：《电视技术》2025年第2期200-202,共3页Video Engineering

摘　　要：随着智能电视的普及,用户对个性化内容推荐的需求急剧增加,传统推荐系统已难以处理复杂的用户行为和海量数据,人工智能(Artificial Intelligence,AI)算法成为新兴解决方案。对此,探讨AI算法在智能电视内容推荐系统中的应用,涵盖协同过滤、深度学习、强化学习及自然语言处理技术,分析各类算法的核心技术及其在提高推荐精度和用户体验方面的作用。With the popularity of smart television,users'demand for personalized content recommendation has sharply increased.Traditional recommendation systems are no longer able to handle complex user behavior and massive data,and Artificial Intelligence(Al)algorithms have become an emerging solution.This article explores the application of AI algorithms in smart television content recommendation systems,covering collaborative filtering,deep learning,reinforcement learning,and natural language processing technologies.It analyzes the core technologies of various algorithms and their roles in improving recommendation accuracy and user experience.

关 键 词：推荐算法 智能电视 内容推荐系统 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]