Watching videos from everywhere: A study of the PPTV mobile VoD system

Zhenyu Li*, Jiali Lin, Marc Ismael Akodjenou, Gaogang Xie, Mohamed Ali Kaafar, Yun Jin, Gang Peng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

65 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the ACM Internet Measurement Conference
Subtitle of host publicationIMC 2012
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages13
ISBN (Print)9781450317054
Publication statusPublished - 2012
Externally publishedYes
Event2012 ACM Internet Measurement Conference, IMC 2012 - Boston, MA, United States
Duration: 14 Nov 201216 Nov 2012


Conference2012 ACM Internet Measurement Conference, IMC 2012
CountryUnited States
CityBoston, MA


  • mobile VoD
  • user behavior
  • video popularity
  • view source

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