A lifetime model of online video popularity

Liang Chen, Yipeng Zhou, Dah Ming Chiu

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

11 Citations (Scopus)


Popular online Video-on-Demand (VoD) services all maintain a large catalog of videos for their users to access. The number of servers assigned to serve each video is directly related to the relative popularity of the video. The distribution
of popularity at a given time is quite well understood. We study how the video popularity changes over its lifetime, for different types of videos. Our study is based on analyzing the video access levels over time, based on data provided by a large video service provider. Our main finding is, while there are variations, the
glory days of a video typically pass by quickly and probability of replaying a video by the same user is low. The reason appears to be due to fairly regular number of users and view time per day for each user, and continuous arrival of new videos. We then discuss the implication of our findings for video replication and recommendation.
Original languageEnglish
Title of host publication2014 IEEE 23rd International Conference on Computer Communication and Networks (ICCCN)
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages8
ISBN (Electronic)9781479935727
Publication statusPublished - 2014
Externally publishedYes
Event2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014 - Shanghai, China
Duration: 4 Aug 20147 Aug 2014

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055


Other2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014


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