摘要
三网融合使得广播电视运营商可以与众多的家庭用户实现信息的实时交互,这使得全方位、个性化的产品营销和有偿服务成为现实。个性化推荐系统作为解决当前大数据时代下信息过载问题的手段之一,如何在众多电视产品中挑选出既符合用户兴趣偏好又在保证正确率的条件下,使推荐结果能够更好的诠释发现性、新颖性和多样性要求。本文对个性化电视产品推荐系统中关键技术进行浅谈,对目前遇到的挑战进行讨论,从而有助于更好的完成推荐系统的设计实现。
The triple play enables broadcast and television operators to interact with a large number of home users in real time,making full-scale,personalized product marketing and paid services a reality.As one of the means to solve the information overload problem in the current era of big data,the personalized recommendation system is how to select the results of the user’s interest preference and the correct rate in many TV products,so that the recommendation results can be better interpreted sex,novelty and diversity requirements.This paper discusses the key technologies in the personalized TV product recommendation system,discusses the current challenges,and helps to better complete the design and implementation of the recommendation system.
出处
《计算机科学与应用》
2019年第7期1358-1364,共7页
Computer Science and Application
