Understanding the YouTube Partners and Their Data： Measurement and Analysis

作     者：CHENG Xu Fatourechi Mehrdad MA Xiaoqiang ZHANG Cong LIU Jiangchuan 

作者机构：BroadbandTV Corp. Vancouver BC Canada V6Z2T3 School of Computing Science Simon Fraser University Burnaby BC Canada V5A1S6 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2014年第11卷第12期

页      面：26-34页

核心收录：

学科分类：0810[工学-信息与通信工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by an NSERC Discovery Grant 

主　　题：合作伙伴 视频数据 测量 分析服务 内容提供商 数据分析 供应商 用户 

摘      要：User generated content,e.g.,from YouTube,the most popular online video sharing site,is one of the major sources of today s big data and it is crucial to understand their inherent ***,YouTube has started working with content providers(known as YouTube partners) to promote the users watching and sharing *** substantial benefit is to further augment its service and monetize more videos,which is crucial to both YouTube and its partners,as well as to other providers of relevant *** this paper,our main contribution is to analyze the massive amounts of video data from a YouTube partner s *** make effective use of Insight,a new analytics service of YouTube that offers simple data analysis for *** provide the practical guidance from the raw Insight data,we enable more complex investigations for the inherent features that affect the popularity of the *** findings facilitate YouTube partners to re-design current video publishing strategies,having more opportunities to attract more views.