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 characteristics.Recently,YouTube h...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 characteristics.Recently,YouTube has started working with content providers(known as YouTube partners) to promote the users' watching and sharing activities.The 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 services.In this paper,our main contribution is to analyze the massive amounts of video data from a YouTube partner's view.We make effective use of Insight,a new analytics service of YouTube that offers simple data analysis for partners.To provide the practical guidance from the raw Insight data,we enable more complex investigations for the inherent features that affect the popularity of the videos.Our findings facilitate YouTube partners to re-design current video publishing strategies,having more opportunities to attract more views.展开更多
With the development of intelligent terminals and mobile applications,the influence of continuous improvement on mobile content services to the continuance use intention is more and more significant.Based on the expec...With the development of intelligent terminals and mobile applications,the influence of continuous improvement on mobile content services to the continuance use intention is more and more significant.Based on the expectation-confirmation theory and information system continuance use theory,this paper proposes a mobile content continuance use model and puts forward related assumptions under the mobile commerce environment by introducing the continuous improvement variables.Questionnaire data are collected from 219 mobile content service users for research,and the hypothetical model is validated by the structural equation modeling.Results show that the information system continuance use model is still valid under the mobile commerce environment,and the continuous improvement on mobile content services have positive impacts on user's expectations after they have experienced certain mobile content services.展开更多
To enhance user perceived performance,Akamai' s content distribution network(CDN) utilizes the domain name system(DNS) effectively to redirect users to close-by content replicas over short time scale.The use of DN...To enhance user perceived performance,Akamai' s content distribution network(CDN) utilizes the domain name system(DNS) effectively to redirect users to close-by content replicas over short time scale.The use of DNS redirection has brought a significant advantage to Akamai' s CDN.However,the reliance on DNS also poses a fundamental threat to Akamai' s content distribution model.In particular,systematic evaluation and quantification illustrates the impact of recent emerging public DNS resolving services on Akamai' s CDN,including the degradation of corresponding user perceived performance and the benefit damnification of collaborating internet services providers(ISPs) that host Akamai's edge servers.The measurement demonstrates that a considerable penetration of public DNS resolving services(e.g.,OpenDNS and GoogleDNS) effectively corrupts the Akamai' s serving model,namely the large-scale server distribution and quick DNS redirection.展开更多
文摘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 characteristics.Recently,YouTube has started working with content providers(known as YouTube partners) to promote the users' watching and sharing activities.The 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 services.In this paper,our main contribution is to analyze the massive amounts of video data from a YouTube partner's view.We make effective use of Insight,a new analytics service of YouTube that offers simple data analysis for partners.To provide the practical guidance from the raw Insight data,we enable more complex investigations for the inherent features that affect the popularity of the videos.Our findings facilitate YouTube partners to re-design current video publishing strategies,having more opportunities to attract more views.
基金supported by China Fundamental Research Funds for the Central University under Grant No.BUPT 2009RC1022
文摘With the development of intelligent terminals and mobile applications,the influence of continuous improvement on mobile content services to the continuance use intention is more and more significant.Based on the expectation-confirmation theory and information system continuance use theory,this paper proposes a mobile content continuance use model and puts forward related assumptions under the mobile commerce environment by introducing the continuous improvement variables.Questionnaire data are collected from 219 mobile content service users for research,and the hypothetical model is validated by the structural equation modeling.Results show that the information system continuance use model is still valid under the mobile commerce environment,and the continuous improvement on mobile content services have positive impacts on user's expectations after they have experienced certain mobile content services.
基金Supported by the National Basic Research Program of China(No.2013CB329103)the National Natural Science Foundation of China(No.61133016,61300191)+1 种基金the National High Technology Joint Research Program of China(No.2011AA010706)the Program of SichuanProvince Applied and Basic Research(No.2013JY0116)
文摘To enhance user perceived performance,Akamai' s content distribution network(CDN) utilizes the domain name system(DNS) effectively to redirect users to close-by content replicas over short time scale.The use of DNS redirection has brought a significant advantage to Akamai' s CDN.However,the reliance on DNS also poses a fundamental threat to Akamai' s content distribution model.In particular,systematic evaluation and quantification illustrates the impact of recent emerging public DNS resolving services on Akamai' s CDN,including the degradation of corresponding user perceived performance and the benefit damnification of collaborating internet services providers(ISPs) that host Akamai's edge servers.The measurement demonstrates that a considerable penetration of public DNS resolving services(e.g.,OpenDNS and GoogleDNS) effectively corrupts the Akamai' s serving model,namely the large-scale server distribution and quick DNS redirection.
