摘要
针对数字电视信息过载问题进行了数字电视节目推荐系统的结构和推荐算法研究。构造了包含信息摄取单元、系统分析单元和推荐信息发送单元的数字电视节目推荐系统结构。提出了节目类型分析法,采用节目类型阈值和节目类型聚类两种形式,分别实现了根据经验值的人工分级和任意簇数的自动聚类,达到了有效寻找观众收视兴趣与所观看节目之间的联系的效果。提出了收视行为分析法,采用收视个体行为分析和收视群体行为分析两种形式,通过观众收视数据推测观众收视兴趣,实现了给观众个体或群体推荐感兴趣的电视节目的目的。
To solve the difficulty in choosing TV programs caused by the information overload brought by the TV digitalization, the constitution and algorithm of a digital TV program recommendation system were studied. A structure of the system, consisting of the information importing unit, the system analyzing unit and the recommendation informa- tion sending unit, was put forward. To search the connection between audience interests and audience programmes, a programme type analytical method was proposed, which adopted the two forms of programme type threshold analyzing and programme type clustering analyzing to realize the artificial classification and automatic clustering respectively. A audience behaviour analytical method was presented. It adopted the two forms of audience behavior indi- viduality analyzing and audience behavior group analyzing to realize the recommendation of interesting programmes for audience individualities or audience groups through inferring audience behavior interest from audience watching data.
出处
《高技术通讯》
CAS
CSCD
北大核心
2014年第7期677-683,共7页
Chinese High Technology Letters
基金
国家广播电影电视总局科研(2011-26)资助项目
关键词
数字电视
节目推荐系统
节目类型分析
收视行为分析
digital TV, program recommendation system, program type analysis method, audience behaviour analysis method
