摘要
随着新媒体的发展,我们会获得越来越多的数据,这些大数据对于用户有什么作用,而我们又将怎么利用这些大数据呢?本文通过协同过滤推荐方法来介绍推荐系统在新媒体领域中的应用。推荐系统作为数据挖掘的一个重要应用形式,未来在IPTV、视频网站、电子商务等领域将会起到重要的作用,对于提升用户体验,增强用户粘度也非常重要。
Along with the development of new media, we will get more and more data.What effect do these big data have ? and how to use these big data?Through the collaborative filtering recommendation method, this paper introduces the application of recommendation systems in the field of new media. As an important application form of data mining, recommendation system will play an important role in IPTV, video website, e-commerce and other fields in the future.It is also very important to improve the user experience and to enhance the user viscosity.
出处
《广播与电视技术》
2015年第11期36-39,共4页
Radio & TV Broadcast Engineering
关键词
协同过滤算法
推荐系统
新媒体
最近邻推荐
Collaborative filtering, Recommendation system, New media, The nearest neighbor recommendation