Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
The stretched exponential distribution of internet media access patterns
Proceedings of the twenty-seventh ACM symposium on Principles of distributed computing
Challenges, design and analysis of a large-scale p2p-vod system
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Watching television over an IP network
Proceedings of the 8th ACM SIGCOMM conference on Internet measurement
Modeling user activities in a large IPTV system
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Inside the bird's nest: measurements of large-scale live VoD from the 2008 olympics
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
The impact of YouTube recommendation system on video views
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
Understanding the impact of video quality on user engagement
Proceedings of the ACM SIGCOMM 2011 conference
Measurement and analysis of a large scale commercial mobile internet TV system
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Understanding couch potatoes: measurement and modeling of interactive usage of IPTV at large scale
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
YouTube everywhere: impact of device and infrastructure synergies on user experience
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Broadcast yourself: understanding YouTube uploaders
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
A Measurement Study of a Large-Scale P2P IPTV System
IEEE Transactions on Multimedia
On the potential of recommendation technologies for efficient content delivery networks
ACM SIGCOMM Computer Communication Review
Analyzing the potential benefits of CDN augmentation strategies for internet video workloads
Proceedings of the 2013 conference on Internet measurement conference
Hi-index | 0.00 |
In this paper, we examine mobile users' behavior and their corresponding video viewing patterns from logs extracted from the servers of a large scale VoD system. We focus on the analysis of the main discrepancies that might exist when users access the VoD system catalog from WiFi or 3G connections. We also study factors that might impact mobile users' interests and video popularity. The users' behavior exhibits strong daily and weekly patterns, with mobile users' interests being surprisingly spread across almost all categories and video lengths, independently of the connection type. However, by examining the activity of users individually, we observed a concentration of interests and peculiar access patterns, which allows to classify the users and thus better predict their behavior. We also find a skewed video popularity distribution and then demonstrate that the popularity of a video can be predicted using its very early popularity level. We further analyzed the sources of video viewing and found that even if search engines are the dominant sources for a majority of videos, they represent less than 10% (resp. 20%) of the sources for the highly popular videos in 3G (resp. WiFi) network. We report that both the type of connections and mobile devices in use have an impact on the viewing time and the source of viewing. Based on our findings, we provide insights and recommendations that can be used to design intelligent mobile VoD systems and help improving personalized services on these platforms.