Analysis of user behavior in a large-scale VoD system

Lei Huang, Bowen Ding, Yuedong Xu, Yipeng Zhou

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

3 Citations (Scopus)

Abstract

Understanding streaming user behavior is crucial to the design of large-scale video-on-demand (VoD) systems. However, existing studies usually treat all the users as an entire entity to analyze the collective user behavior. In this paper, we measure the individual viewing behavior of 10 million sampled users from two perspectives: the temporal characteristics and the user interest, and present our results by dividing users into the active and inactive groups. We observe that the active users spend more hours on each active day, and their daily request time distribution is more scattered than that of the inactive users, while the inter-viewing time distribution differs negligible between two groups. We exhibit the similar viewing behaviors of the active and inactive users, e.g. the common interests in popular videos and the latest uploaded videos. We further propose a modified Weibull distribution to fit users' view completion rate, which can deal with different video categories well. To identify users with similar viewing behaviors, we cluster them into 24 classes using their daily request timestamp or 11 classes using the watched video category. The analysis of cluster centroid manifests the efficacy of the clustering, which enables us to step closer to the understanding of user behavior in large-scale VoD systems.
Original languageEnglish
Title of host publicationProceedings of the 27th Workshop on Network and Operating Systems Support for Digital Audio and Video
PublisherAssociation for Computing Machinery (ACM)
Pages49-54
Number of pages6
ISBN (Electronic)9781450350037
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event27th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2017 - Taipei, Taiwan, Province of China
Duration: 20 Jun 201723 Jun 2017

Conference

Conference27th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2017
CountryTaiwan, Province of China
CityTaipei
Period20/06/1723/06/17

Keywords

  • streaming media
  • user behavior
  • Video-on-Demand
  • Video-on-demand
  • Streaming media
  • User behavior

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