摘要
现有的流媒体点播用户行为模型对用户的交互性考虑不足,该文提出了一种新的用户交互式行为模型。仿真结果表明,该模型可生成不同交互强度和请求模式的流媒体用户行为合成记录,其统计特征更为合理,拟合实际交互式用户记录较好。
Current user behavior models in streaming application ignore user interactivity, a new model is proposed for interactive user behavior in steaming-on-demand. Simulation results show that it can generate synthetic traces with different interactivity degree and user request mode. The statistical characteristics of main objects in synthetic traces are more reasonable, and the inner content popularity approximates actual interactive user traces well.
出处
《电子与信息学报》
EI
CSCD
北大核心
2007年第9期2252-2256,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60572049
60602029)
湖北省自然科学基金(2005ABA264)资助课题