机译:表征和建模用户生成的视频的受欢迎程度
N1CTA, Locked Bag 9013, Alexandria, NSW 1435, Australia,School of Electrical Engineering and Telecommunications, University of New South Wales, NSW 2030, Australia;
Department of Computer Science and Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India;
N1CTA, Locked Bag 9013, Alexandria, NSW 1435, Australia,School of Electrical Engineering and Telecommunications, University of New South Wales, NSW 2030, Australia;
Department of Computer and Information Science, Linkoeping University, Linkoeping, SE-581 83, Sweden;
Department of Computer Science, University of Saskatchewan, Saskatoon, SKS7N 5C9, Canada;
N1CTA, Locked Bag 9013, Alexandria, NSW 1435, Australia,School of Electrical Engineering and Telecommunications, University of New South Wales, NSW 2030, Australia;
user-generated videos; popularity dynamics; video sharing; workload modelling;
机译:通过用户分组和视频人气分类提高视频普及预测模型的准确性
机译:表征在线视频的受欢迎程度
机译:在类似企业的环境中用于用户生成的流量的视频帧大小建模
机译:重新审视用户生成视频的流行特征和建模
机译:用户生成的在线视频发布对巡逻人员行为的影响
机译:表征和建模活动和受欢迎程度的动态
机译:表征和建模用户生成的视频的受欢迎程度