网络电视用户行为计算建模与统计分析
Calculation Modeling and Statistical Analysis of Network TV User Behavior
DOI: 10.12677/CSA.2019.91021, PDF,    科研立项经费支持
作者: 吴颂涛：广州珠江数码集团股份有限公司，广东 广州；王 意：深圳市腾讯计算机系统有限公司，广东 深圳；王 澜, 杨 灿*：华南理工大学计算机科学与工程学院，广东 广州
关键词: 网络电视；直播；用户行为；统计分析；IPTV； Live Streaming； User Behavior； Statistics Analysis
摘要: 网络电视(IPTV)业务在国内日趋普及，深度探索IPTV受众行为成为一个新兴的课题。我们定义一个网络电视用户行为计算状态模型，从单频道、个体用户和群体用户三个角度对一个大型IPTV系统的用户行为数据进行计算与分析，对观看时长、在线人数及其在24小时内的分布情况进行抽样统计分析，其结果为网络电视内容与广告投放、频道资源合理分配和精准推荐提供参考依据。
Abstract: Network television (IPTV) services are becoming more and more popular in China, and indepth exploration of audience behavior has become an emerging topic in IPTV. We define a state model to understand network TV users’ behaviors, and conduct users’ behaviors’ computation and analysis from such 3 aspects as an individual user, groups and a single channel in a large-scale IPTV system. We also focus on statistical analysis sampling from the watching length, the number of the online and the distribution of 24 hours, the result of which will be provided some references for delivering web content and advertisement, resources allocation of television channels and the precise content recommendation.
文章引用：吴颂涛, 王意, 王澜, 杨灿. 网络电视用户行为计算建模与统计分析[J]. 计算机科学与应用, 2019, 9(1): 172-180. https://doi.org/10.12677/CSA.2019.91021

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