NDLI: I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

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I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system

Content Provider	ACM Digital Library
Author	Kwak, Haewoon Ahn, Yong-Yeol Moon, Sue Rodriguez, Pablo Cha, Meeyoung
Abstract	User Generated Content (UGC) is re-shaping the way people watch video and TV, with millions of video producers and consumers. In particular, UGC sites are creating new viewing patterns and social interactions, empowering users to be more creative, and developing new business opportunities. To better understand the impact of UGC systems, we have analyzed YouTube, the world's largest UGC VoD system. Based on a large amount of data collected, we provide an in-depth study of YouTube and other similar UGC systems. In particular, we study the popularity life-cycle of videos, the intrinsic statistical properties of requests and their relationship with video age, and the level of content aliasing or of illegal content in the system. We also provide insights on the potential for more efficient UGC VoD systems (e.g. utilizing P2P techniques or making better use of caching). Finally, we discuss the opportunities to leverage the latent demand for niche videos that are not reached today due to information filtering effects or other system scarcity distortions. Overall, we believe that the results presented in this paper are crucial in understanding UGC systems and can provide valuable information to ISPs, site administrators, and content owners with major commercial and technical implications.
Starting Page	1
Ending Page	14
Page Count	14
File Format	PDF
ISBN	9781595939081
DOI	10.1145/1298306.1298309
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-10-24
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Content aliasing Caching Popularity analysis User generated content Long tail Power-law Vod P2p
Content Type	Text
Resource Type	Article

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