人工智能在广播电视节目推荐系统中的应用

Application of Artificial Intelligence in Radio and Television Program Recommendation System

介绍广播电视节目推荐系统的基本概念,重点讨论内容分析、协同过滤算法以及基于深度学习的推荐系统三种主要的人工智能技术在广播电视节目推荐系统中的应用,展示如何利用这些技术提供更精准的节目推荐,以提升用户体验,助力电视节目的精准推送和高效分发。

This paper introduces the basic concepts of radio and television program recommendation system,focuses on the application of three major artificial intelligence technologies in radio and television program recommendation system,namely content analysis,collaborative filtering algorithm and deep learning-based recommendation system,and shows how to use these technologies to provide more accurate program recommendation to improve user experience,to help the accurate push and efficient distribution of TV programs.