Foundations of statistical natural language processing
Foundations of statistical natural language processing
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
Structure and Network in the YouTube Core
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Understanding video interactions in youtube
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Analyzing video services in Web 2.0: a global perspective
Proceedings of the 18th International Workshop on Network and Operating Systems Support for Digital Audio and Video
Computer Networks: The International Journal of Computer and Telecommunications Networking
Detecting spammers and content promoters in online video social networks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Predicting the popularity of online content
Communications of the ACM
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Watching online videos is part of the daily routine of a considerable fraction of Internet users nowadays. Understanding the patterns of access to these videos is paramount for improving the capacity planning for video providers, the conversion rate for advertisers, and the relevance of the whole online video watching experience for end users. While much research has been conducted to analyze video access patterns in user-generated content (UGC), little is known of how such patterns manifest in mainstream media (MSM) portals. In this paper, we perform the first large-scale analysis of video access patterns in MSM portals. As a case study, we analyze interaction logs across a total of 38 Brazilian MSM portals, including six of the largest portals in the country, over a period of eight weeks. Our analysis reveals interesting static and temporal video access patterns in MSM portals, which we compare and contrast to the access patterns reported for UGC websites. Overall, our analysis provides several insights for an improved understanding of video access on the Internet beyond UGC websites.