Long-term movie popularity models in video-on-demand systems: or the life of an on-demand movie
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
The Structural Cause of File Size Distributions
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Measurement, modeling, and analysis of a peer-to-peer file-sharing workload
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Impact of search engines on page popularity
Proceedings of the 13th international conference on World Wide Web
Analyzing client interactivity in streaming media
Proceedings of the 13th international conference on World Wide Web
IEEE/ACM Transactions on Networking (TON)
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
Understanding user behavior in large-scale video-on-demand systems
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Can internet video-on-demand be profitable?
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
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
Youtube traffic characterization: a view from the edge
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Integration of hurricane wind analysis and multimedia semantic content analysis for public outreach
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
IEEE Transactions on Wireless Communications
Improving content delivery using provider-aided distance information
IMC '10 Proceedings of the 10th ACM SIGCOMM conference on Internet measurement
The tube over time: characterizing popularity growth of youtube videos
Proceedings of the fourth ACM international conference on Web search and data mining
Are friends overrated?: a study for the social aggregator digg.com
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
Design and implementation of intelligent mesh nodes for wireless video stream sharing
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Optimised local caching in cellular mobile networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Measurement and analysis of a large scale commercial mobile internet TV system
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
A straw shows which way the wind blows: ranking potentially popular items from early votes
Proceedings of the fifth ACM international conference on Web search and data mining
Are friends overrated? A study for the social news aggregator Digg.com
Computer Communications
What's trending?: mining topical trends in UGC systems with YouTube as a case study
Proceedings of the Eleventh International Workshop on Multimedia Data Mining
Commenting on YouTube videos: From guatemalan rock to El Big Bang
Journal of the American Society for Information Science and Technology
Understanding video propagation in online social networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Multimodal semantics extraction from user-generated videos
Advances in Multimedia
The untold story of the clones: content-agnostic factors that impact YouTube video popularity
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Enabling mobile distributed social networking on smartphones
Proceedings of the 15th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Journal of Computer-Mediated Communication
Program popularity and viewer behaviour in a large TV-on-demand system
Proceedings of the 2012 ACM conference on Internet measurement conference
Towards a predictive cache replacement strategy for multimedia content
Journal of Network and Computer Applications
Can social features help learning to rank youtube videos?
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Using early view patterns to predict the popularity of youtube videos
Proceedings of the sixth ACM international conference on Web search and data mining
On the prediction of popularity of trends and hits for user generated videos
Proceedings of the sixth ACM international conference on Web search and data mining
Demystifying porn 2.0: a look into a major adult video streaming website
Proceedings of the 2013 conference on Internet measurement conference
The Scope for online social network aided caching in web CDNs
ANCS '13 Proceedings of the ninth ACM/IEEE symposium on Architectures for networking and communications systems
Hi-index | 0.00 |
User generated content (UGC), now with millions of video producers and consumers, is re-shaping the way people watch video and TV. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and generating new business opportunities. Compared to traditional video-on-demand (VoD) systems, UGC services allow users to request videos from a potentially unlimited selection in an asynchronous fashion. To better understand the impact of UGC services, we have analyzed the world's largest UGC VoD system, YouTube, and a popular similar system in Korea, Daum Videos. In this paper, we first empirically show how UGC services are fundamentally different from traditional VoD services. We then analyze the intrinsic statistical properties of UGC popularity distributions and discuss opportunities to leverage the latent demand for niche videos (or the so-called "the Long Tail" potential), which is not reached today due to information filtering or other system scarcity distortions. Based on traces collected across multiple days, we study the popularity lifetime of UGC videos and the relationship between requests and video age. Finally, we measure the level of content aliasing and illegal content in the system and show the problems aliasing creates in ranking the video popularity accurately. The results presented in this paper are crucial to understanding UGC VoD systems and may have major commercial and technical implications for site administrators and content owners.