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广电智能推荐系统的应用研究
引用本文:陈都,苗方,金立标,吴敏. 广电智能推荐系统的应用研究[J]. 电视技术, 2016, 40(1): 102-105. DOI: 10.16280/j.videoe.2016.01.020
作者姓名:陈都  苗方  金立标  吴敏
作者单位:1. 中国传媒大学理工学部,北京,100024;2. 中国国际广播电台,北京,100040
基金项目:项目名称:网络电视内容云制作与服务系统研发及示范应用 项目编号:(2013BAH36F00)
摘    要:随着广播电视媒体的发展已经进入融合时代,融合媒体要求充分运用新技术、新应用创新传播方式.为了充分挖掘分析潜在的用户需求,针对广电业务的推荐技术越来越受到关注.通过介绍近几年推荐技术新的发展成果,在广电推荐系统应用中充分结合媒体融合、时间因素等,建立广电智能推荐系统的基本构架,提出广电领域业务的进一步设想和展望.

关 键 词:智能推荐  用户行为分析  媒体融合
收稿时间:2015-11-04
修稿时间:2015-12-09

Study on the intelligent recommendation system applied in Television Broadcasting
chendu,Miao fang,Jin li biao and wumin. Study on the intelligent recommendation system applied in Television Broadcasting[J]. Ideo Engineering, 2016, 40(1): 102-105. DOI: 10.16280/j.videoe.2016.01.020
Authors:chendu  Miao fang  Jin li biao  wumin
Affiliation:Communication University of China Faculty of Science and Techology,Communication University of China Faculty of Science and Techology,Communication University of China Faculty of Science and Techology,China Radio International
Abstract:With the development of radio and television media, convergence is coming. New technologies and applications are required to innovate communication ways in the time of convergence. In order to fully tap and analyze the potential needs of customers, intelligent recommendation technology for radio and television is increasingly concerned by people. The results of new recommendation technology are introduced in this paper. In addition,the framework of intelligent recommendation system is established with the consideration of time and media integration. The prospect of radio and television sector are given in the end.
Keywords:Intelligent recommendation   User behavior analysis  Media convergence
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